Insufficient and biased representation of species geographic responses to climate change.

The geographic redistributions of species due to a rapidly changing climate are poised to perturb ecological communities and significantly impact ecosystems and human livelihoods. Effectively managing these biological impacts requires a thorough understanding of the patterns and processes of species geographic range shifts. While substantial recent redistributions have been identified and recognized to vary by taxon, region, and range geometry, there are large gaps and biases in the available evidence. Here, we use the largest compilation of geographic range change observations to date, comprised of 33,016 potential redistributions across 12,009 species, to formally assess within- and cross-species coverage and biases and to motivate future data collection. We find that species coverage varies strongly by taxon and underrepresents species at high and low latitudes. Within species, assessments of potential redistributions came from parts of their geographic range that were highly uneven and non-representative. For most species and taxa, studies were strongly biased toward the colder parts of species' distributions and thus significantly underrepresented populations that might get pushed beyond their maximum temperature limits. Coverage of potential leading and trailing geographic range edges under a changing climate was similarly uneven. Only 8% of studied species were assessed at both high and low latitude and elevation range edges, with most only covered at one edge. This suggests that substantial within-species biases exacerbate the considerable geographic and taxonomic among-species unevenness in evidence. Our results open the door for a more quantitative accounting for existing knowledge biases in climate change ecology and a more informed management and conservation. Our findings offer guidance for future data collection that better addresses information gaps and provides a more effective foundation for managing the biological impacts of climate change.

Bringing traits back into the equation: A roadmap to understand species redistribution.

Ecological and evolutionary theories have proposed that species traits should be important in mediating species responses to contemporary climate change; yet, empirical evidence has so far provided mixed evidence for the role of behavioral, life history, or ecological characteristics in facilitating or hindering species range shifts. As such, the utility of trait-based approaches to predict species redistribution under climate change has been called into question. We develop the perspective, supported by evidence, that trait variation, if used carefully can have high potential utility, but that past analyses have in many cases failed to identify an explanatory value for traits by not fully embracing the complexity of species range shifts. First, we discuss the relevant theory linking species traits to range shift processes at the leading (expansion) and trailing (contraction) edges of species distributions and highlight the need to clarify the mechanistic basis of trait-based approaches. Second, we provide a brief overview of range shift-trait studies and identify new opportunities for trait integration that consider range-specific processes and intraspecific variability. Third, we explore the circumstances under which environmental and biotic context dependencies are likely to affect our ability to identify the contribution of species traits to range shift processes. Finally, we propose that revealing the role of traits in shaping species redistribution may likely require accounting for methodological variation arising from the range shift estimation process as well as addressing existing functional, geographical, and phylogenetic biases. We provide a series of considerations for more effectively integrating traits as well as extrinsic and methodological factors into species redistribution research. Together, these analytical approaches promise stronger mechanistic and predictive understanding that can help society mitigate and adapt to the effects of climate change on biodiversity.

Funding bias in shoulder arthroplasty research.

BACKGROUND: Prior research has shown that industry funding can impact the outcomes reported in medical literature. Limited data exist on the degree of bias that industry funding may have on shoulder arthroplasty literature outside of the Journal of Shoulder and Elbow Surgery. The purpose of this study is to characterize the type and frequency of funding for recently published shoulder arthroplasty studies and the impact of industry funding on reported outcomes. We hypothesized that studies with industry funding are more likely to report positive outcomes than those without. MATERIALS AND METHODS: We performed a retrospective study searching all articles with the term "shoulder arthroplasty," "reverse shoulder arthroplasty," "anatomic total shoulder arthroplasty," or "total shoulder arthroplasty" on PubMed from the years January 2020 to December 2022. The primary outcome of studies was coded as either positive, negative, or neutral. A positive result was defined as one in which the null hypothesis was rejected. A negative result was defined as one in which the result did not favor the group in which the industry-funded implant was used. A neutral result was defined as one in which the null hypothesis was confirmed. Article funding type, subcategorized as National Institutes of Health funding or industry funding was recorded. Author disclosures were recorded to determine conflicts of interest. Statistical analysis was conducted using the χ2 test and Fisher exact test. RESULTS: A total of 750 articles reported on either conflict of interest or funding source and were included in the study. Of the total number of industry-funded studies, the majority were found to have a positive primary endpoint (58.1%, 104 of 179), as compared to a negative (7.8%, 14 of 179) or neutral endpoint (33.5%, 60 of 179) (P = .004). Overall, 363 articles reported an author conflict of interest, and the majority of these studies had positive primary endpoint (55.6%, 202 of 363) as compared to negative (9.1%, 33 of 363) or neutral endpoints (34.4%, 125 of 363) (P = .002). CONCLUSION: The results of this study suggest that there is a significant relationship between conflicts of interest and the primary outcome of shoulder arthroplasty studies, beyond the overall positive publication bias. Studies with industry funding and author conflicts of interest both report positive outcomes more frequently than negative outcomes. Shoulder surgeons should be aware of this potential bias when choosing to base clinical practice on published data.

Science Shops as key intermediary structures to respond to the current health research agenda bias: Evidence from the InSPIRES project.

INTRODUCTION: To increase the likelihood of research responding to societal needs, intermediary structures such as Science Shops are being created. Science Shops respond to research needs identified and prioritized through participatory processes involving civil society. However, these are not mainstream structures, and most research needs addressed by the scientific community are not defined by a diversity of stakeholders (including citizens) but are mostly prioritized by researchers and funders. Literature shows this often leads to bias between the research topics investigated and the research needs of other relevant stakeholders. This study analyses how 14 Science Shops contribute to decreasing bias in health research agenda setting. METHODOLOGY: We compare the research priorities identified through participatory processes by the Science Shops, which participated in the European Union-funded project InSPIRES (2017-2021), to the available research addressed in the literature (identified in Web of Science), which we use as a proxy for current research priorities. RESULTS: Science Shop projects contributed to decreasing the existing bias in health research agenda setting: (1) between drug and nondrug treatments and (2) between clinical trials of treatments for illnesses affecting high-income versus middle- and low-income countries, which leads to a lack of local strategies for high disease burdens in nonhigh-income regions. CONCLUSION: This study provides the first evidence of Science Shops' effectiveness in addressing current biases in health research agenda setting. We conclude they could play a key role in shaping local, national and international research policies.

An inferential spatiotemporal approach for knowledge synthesis to identify trends in public health research.

Background: Decisions follow patterns that are introduced by human perception. Research and development (R&D) are influenced by these patterns. Furthermore, R&D publications can represent repetitive attempts to solve similar, or the same problems. Literature reviews serve as an important tool for identifying these trends, but they are time consuming. The time commitment of a literature review can be reduced by using a sample of research. This will allow an infinite population of research to be generalized. Additionally, spatiotemporal analysis is most appropriate for fields that follow time and geographic trends, such as public health. Also, using research locations to perform this analysis potentially captures the social return of R&D, as knowledge gained. As a result, an inferential spatiotemporal methodological framework is introduced to quickly identify research trends using public health research. This was applied to a childhood Pb exposure case study. Methods: A body of more than 1000 childhood elevated blood lead (Pb) level (EBLL) research articles were used to extract publication years, research locations, and subtopics. These publications were grouped into research locations (i.e., U.S. states where research was conducted; not publication location) and averaged over years published (i.e., 29 years). Binary indicator variables were derived using the subtopics extracted and the periods identified in time trend analyses. Explanatory variables were used to conduct hypothesis testing. Significant variables were used to generalize the population of the annual average EBLL articles written per state. Results: The range of the annual average of EBLL research articles by state was 0-1.7 articles, with a mean of 0.3 articles. Thirty-eight explanatory variables suggested a significant effect on research article production. These included temporal, sociodemographic, education, structure age, environmental, and economic variables. The strongest effect on research production for U.S. states came from the number of structures built before 1950. A predictive model was selected to generalize the population of articles using time-periods 1990-95, environmental subtopic, and structures built before 1950. The locations with the most research production for this topic were California and New York. The locations with the least research production for this topic were Alaska, Hawaii, Nevada, Wyoming, North Dakota, South Dakota, Mississippi, Delaware, and New Hampshire. Conclusion: If the trend for R&D is to make fast decisions, more human bias will be introduced into the decision-making process. Analytical tools that enable researchers to identify trends and ask more questions about their field will mitigate these biases. This hypothesis testing and predictive modeling methodology provide researchers and other decision makers with analytical tools they can use to quickly identify research trends and narrow their field of research. Additionally, this analysis potentially captures the impact of discovered ideas, as a social return spillover, for this topic.

A review of age estimation methods in non-avian reptiles by growth marks in hard tissues.

Age and growth-related data are basic biological parameters, essential in population ecology, evolution, and conservation biology. There is a growing body of published information on reptile demography derived from sclerochronology, a technique based on counting the growth layers deposited in bones (skeletochronology) and other hard body structures. Since the data are not always easily available, we compiled the existing published data, described the current status of knowledge, synthetized the conclusions of disparate studies, and identified patterns of research and information gaps, prioritizing the needs for future research. Our database includes the results of 468 published studies covering 236 reptile species from 41 families. These represent less than 2% of the total number of known extant species. Turtles and crocodiles are proportionally better studied, while snakes are the least examined group. The distribution of the research does not reflect conservation needs; we found an important geographic bias, with an overrepresentation of Northern temperate species. Only 23% of the studies checked the assumption of periodicity of growth marks deposition, and the method was found to be reliable or adequate in 79% of the cases. Overall, the data obtained through sclerochronology can be considered robust, especially if validation methods are employed, since the general goal is to characterize population parameters, trends, and dynamics, rather than determining the exact age of any specimen in particular.

Selecting an appropriate control group for studying the effects of exercise on cognitive performance.

Differences in expectations between experimental and control groups can influence the outcomes of exercise interventions, emphasizing the need to match expectations across study groups. This online study examined whether the expectations to improve the performance of different cognitive tasks differ between various activities commonly used in research on the effects of exercise and cognitive function. Two hundred and five middle-aged adults performed two reaction-time tasks and one memory task. They were then asked to rate, on a 1-5 Likert scale, their expectations to improve performance in those tasks should they engage in six types of activities for three months: brisk walking, resistance exercise, stretching and balance exercises, watching videos with lectures on art, history, and science, a program of relaxation techniques, and yoga/tai chi/meditation. Results revealed that the highest expectations for improvement were associated with relaxation techniques and yoga/tai chi/meditation. Some activities, such as brisk walking and stretch and balance exercises, shared similar expectations. Previous knowledge of the possible beneficial effects of exercise on cognitive performance also led to higher expectations. To establish causal relationships, researchers should strive to use activities that share similar expectations to improve performance for the experimental and control groups. The findings of this study provide such activity pairs. Finally, researchers should also try to match participants with and without prior knowledge of the benefits of exercise to cognitive function between experimental and control groups.

A Review of Meta-Analyses in Plastic Surgery: Need for Adequate Assessment of Publication Bias.

INTRODUCTION: Publication bias describes a phenomenon in which significant positive results have a higher likelihood of being published compared to negative or nonsignificant results. Publication bias can confound the estimated therapeutic effect in meta-analyses and needs to be adequately assessed in the surgical literature. METHODS: A review of meta-analyses published in five plastic surgery journals from 2002 to 2022 was conducted. The inclusion criteria for meta-analyses were factors that demonstrated an obligation to assess publication bias, such as interventions with comparable treatment groups and enough power for statistical analysis. Acknowledgment of publication bias risk, quality of bias assessment, methods used in assessment, and individual article factors were analyzed. RESULTS: 318 unique meta-analyses were identified in literature search, and after full-text reviews, 143 met the inclusion criteria for obligation to assess publication bias. 64% of eligible meta-analyses acknowledged the confounding potential of publication bias, and only 46% conducted a formal assessment. Of those who conducted an assessment, 49% used subjective inspection of funnel plots alone, while 47% used any statistical testing in analysis. Overall, only 9/143 (6.3%) assessed publication bias and attempted to correct for its effect. Journals with a higher average impact factor were associated with mention and assessment of publication bias, but more recent publication year and higher number of primary articles analyzed were not. CONCLUSIONS: This review identified low rates of proper publication bias assessment in meta-analyses published in five major plastic surgery journals. Assessment of publication bias using objective statistical testing is necessary to ensure quality literature within surgical disciplines.

Capacity for One Health research in the Horn of Africa.

Introduction: In low-and-middle-income countries, many people live near livestock. Rural livelihoods need improvement, however livestock-sector growth is a 'wicked' problem, needing careful management and One Health approaches which balance positive aspects of livestock ownership against deleterious impacts. Materials and methods: A Key Informant survey was delivered to higher education and research institute Units in Horn of Africa, to quantify baseline estimates for One Health research, understand characteristics, and risk factors for usage. Principal results: Four-fifths of Units acknowledged some One Health research; however, this was biased towards human-focused dimensions including at the human/animal/environment-interface and human/animal-interface; One Health approaches were also more often reported when all or the animal/environment dimensions were examined. We detected subject-bias impacting environment-focus in research; only research-focused Units had staff with higher environmental science degrees. Our work suggested good national research buy-in, and Units engaging with national policy-makers most often; local policy-makers were least engaged. Four-fifths of Units had laboratories, with two-thirds processing either human or animal samples and half processing both. Funding for equipment purchase, supplies and maintenance, staff training on technical/safety issues was nearly half that previously identified. Major conclusions: The necessity for One Health research approaches is acknowledged, however our results suggest persistent and systemic neglect of the environment in approaches and research staff education, and a lack of integration across government hierarchies during policy-development, potentially driven by international organisation domination. Further, Units lack funding for laboratory equipment purchase/supplies/maintenance, and staff training on technical/safety issues.

Perceptions of publication pressure among Hungarian researchers: Differences across career stage, gender, and scientific field.

Excessive publication pressure has been associated with detrimental aspects for individual researchers and scientific integrity but has not been well-studied in Eastern European countries. The aim of this study is to assess perceived publication pressure and its relationship with career stage, scientific field, and gender in Hungary. The survey included demographic questions, such as gender, age, scientific field, career stage, and the Revised Publication Pressure Questionnaire (PPQr). A total of 408 respondents completed the survey, 46% were female, and 54% were male. 45% are PhD students, 17% are postdocs or assistant professors, and 38% are associate or full professors. 31% are from the Biomedical Sciences, 39% from Natural Sciences, 18% from Social Sciences, and 12% from Humanities. Our results showed no significant disciplinary differences in perceived publication pressure. PhD students perceived a greater lack of resources than postdocs and professors. The same applied to postdocs and assistant professors when compared to associate professors. The findings also showed that female researchers perceive greater stress than male researchers. Our study highlights the need to improve mentoring during the development of early-career researchers. It also emphasizes the importance of organizational structures developing policies or strategies to address gender differences in academia.

The Use of Race and Socioeconomic Status Variables in Published Otolaryngologic Research.

OBJECTIVE: To characterize the use of race and socioeconomic status (SES) variables in clinical otolarynogologic research. METHODS: Databases were queried for all articles published in 2016 issues of 5 major otolaryngologic journals. One thousand, one hundred and forty of 1593 articles abstracted met inclusion criteria for analysis. RESULTS: In total, 244 (21.4%) studies specified race as a variable. The subspecialty of Head and Neck cancer specified race at statistically higher rates compared to other subspecialties (P = .002). Two hundred nine (34.0%) domestic studies specified race compared to 35 (6.7%) international studies. Of the 244 studies that specified race, 79 (32.4%) defined race using racial and ethnic categories interchangeably. Two hundred twenty-four (91.8%) studies reported data by race, 145 (59.4%) analyzed the data, and 112 (45.9%) discussed race-based results.In total, 94 (8.2%) studies specified SES. All subspecialties specified SES at statistically similar rates. Seventy (11.4%) domestic studies specified SES compared to 24 (4.6%) international studies. Of the 94 studies that specified SES, 42 (44.7%) defined SES using insurance status, 35 (37.2%) used education, and 32 (34.0%) used income. Seventy-eight (83.0%) studies reported data by SES, 71 (75.5%) analyzed the data, and 68 (72.3%) discussed SES-based results. CONCLUSION: In clinical otolaryngologic research, the study of race and SES is limited. To improve quality of research and patient care for all patients, investigators should clearly justify their use of race and SES variables, carefully select their measures of race and SES (if the use of these variables is justified), and study race/SES-based data beyond just a superficial level.

A Meta-Epidemiological Study of Positive Results in Clinical Nutrition Research: The Good, the Bad and the Ugly of Statistically Significant Findings.

Positive (statistically significant) findings are easily produced in nutrition research when specific aspects of the research design and analysis are not accounted for. To address this issue, recently, a pledge was made to reform nutrition research and improve scientific trust on the science, encompass research transparency and achieve reproducibility. The aim of the present meta-epidemiological study was to evaluate the statistical significance status of research items published in three academic journals, all with a focus on clinical nutrition science and assessing certain methodological/transparency issues. All research items were published between the years 2015 and 2019. Study design, primary and secondary findings, sample size and age group, funding sources, positivist findings, the existence of a published research protocol and the adjustment of nutrients/dietary indexes to the energy intake (EI) of participants, were extracted for each study. Out of 2127 studies in total, those with positive findings consisted of the majority, in all three journals. Most studies had a published research protocol, however, this was mainly due to the randomized controlled trials and not to the evidence-synthesis studies. No differences were found in the distribution of positive findings according to the existence/inexistence of a published research protocol. In the pooled sample of studies, positive findings differed according to study design and more significant findings were reported by researchers failing to report any funding source. The majority of items published in the three journals (65.9%) failed to account for the EI of participants. The present results indicate that there is still room for the improvement of nutrition research in terms of design, analyses and reporting.

Are Most Published Criminological Research Findings Wrong? Taking Stock of Criminological Research Using a Bayesian Simulation Approach.

This study uses Bayesian simulations to estimate the probability that published criminological research findings are wrong. Toward this end, we employ two equations originally popularized in John P.A. Ioannidis' (in)famous article, "Why Most Published Research Findings are False." Values for relevant parameters were determined using recent estimates for the field's average level of statistical power, level of research bias, level of factionalization, and quality of theory. According to our simulations, there is a very high probability that most published criminological research findings are false-positives, and therefore wrong. Further, we demonstrate that the primary factor contributing to this problem is the poor quality of theory. Stated differently, even when the overall level of research bias is extremely low and overall statistical power is extremely high, we find that poor theory still results in a high rate of false positives. We conclude with suggestions for improving the validity of criminological research claims.

Quantifying research interests in 7,521 mammalian species with h-index: a case study.

BACKGROUND: Taxonomic bias is a known issue within the field of biology, causing scientific knowledge to be unevenly distributed across species. However, a systematic quantification of the research interest that the scientific community has allocated to individual species remains a big data problem. Scalable approaches are needed to integrate biodiversity data sets and bibliometric methods across large numbers of species. The outputs of these analyses are important for identifying understudied species and directing future research to fill these gaps. FINDINGS: In this study, we used the species h-index to quantity the research interest in 7,521 species of mammals. We tested factors potentially driving species h-index, by using a Bayesian phylogenetic generalized linear mixed model (GLMM). We found that a third of the mammals had a species h-index of zero, while a select few had inflated research interest. Further, mammals with higher species h-index had larger body masses; were found in temperate latitudes; had their humans uses documented, including domestication; and were in lower-risk International Union for Conservation of Nature Red List categories. These results surprisingly suggested that critically endangered mammals are understudied. A higher interest in domesticated species suggested that human use is a major driver and focus in mammalian scientific literature. CONCLUSIONS: Our study has demonstrated a scalable workflow and systematically identified understudied species of mammals, as well as identified the likely drivers of this taxonomic bias in the literature. This case study can become a benchmark for future research that asks similar biological and meta-research questions for other taxa.

Synthesis of knowledge of the vegetal diet of nectar-feeding bats of Mexico (Phyllostomidae:Glossophaginae) / Síntesis del conocimiento de la dieta vegetal de los murciélagos nectarívoros de México (Phyllostomidae:Glossophaginae)

Introduction: The interaction between bats and plants is key to the stability of ecosystems and economically important industries, such as tequila and mescal in Mexico. For these reasons, it's important to determine the current state of knowledge of plant diet of nectar-feeding bats.  In this study, we did a systematic review of literature on plants that have been reported as food for nectar-feeding bats (subfamily Glossophaginae) of Mexico.  Based on this information, we identified bat species with the most complete knowledge of their diet, the most consumed plant genera, and the territories with information gaps for the country.  Materials and methods: The literature search of nectar-feeding bats diet was carried out in the Web of Science database, in Google Scholar and in digital collections of universities.  We constructed rarefaction curves for the richness of the bats' plant diet, a heat map of the genera consumed by species, as well a map of diet localities in the different biogeographic provinces of Mexico, to find out if knowledge of plant diet of bats was related to variables such as size of biogeographic province, presence of chiropterophilic plants or richness of nectar-feeding bats.  Results: The diet of nectar-feeding bats in Mexico was concentrated in the plant genera Agave spp., Pseudobombax spp. and Ceiba spp., which according to the literature provide food to more than 75 % of nectar-feeding bats that inhabit Mexican territory.  Leptonycteris yerbabuenae is the species with the most information on its plant diet in Mexico, while Lichonycteris obscura is the species with the least information.  Any species of bat reached a value greater than 65 % of the expected richness.  Localities where diet of nectar-feeding bats has been mainly studied in provinces corresponding to Neotropical region of the country.  Discussion and Conclusions: Knowledge about diet of nectar-feeding bats in Mexico is far from complete.  The distribution of diet localities is biased in a large part of its geographic distribution, and could be positive correlated with areas with higher bat species richness.

Introducción: La interacción entre los murciélagos y las plantas es clave para la estabilidad de los ecosistemas y para industrias económicamente importantes, como la del tequila y mezcal en México.  Por ello, es importante determinar el estado del conocimiento de la dieta vegetal de los murciélagos nectarívoros.  En este estudio hicimos una revisión sistemática de literatura sobre las plantas que se han reportado como alimento de las especies de murciélagos nectarívoros glosofaginos de México.  A partir de ello, identificamos las especies de murciélagos con mayor completitud en el conocimiento de su dieta, los géneros de plantas más consumidos y los territorios con vacíos de información para el país.  Materiales y métodos: La búsqueda de literatura sobre dieta de glosofaginos se realizó en la base de datos Web of Science, en el buscador Google Scholar y en acervos digitales de universidades.  Construimos curvas de rarefacción de riqueza de la dieta de los murciélagos, un mapa de calor de los géneros consumidos por especie, así como un mapa de las localidades de dieta en las diferentes provincias biogeográficas de México, para saber si el conocimiento de la dieta vegetal de estos murciélagos estaba relacionado con variables como el tamaño de provincia biogeográfica, presencia de plantas quiropterofílicas o riqueza de especies de murciélagos.  Resultados: La dieta de los murciélagos se concentró en los géneros Agave spp., Pseudobombax spp. y Ceiba spp., los cuales proveen de alimento a más del 75 % de las especies de estudio.  Leptonycteris yerbabuenae es la especie con mayor información sobre su dieta vegetal en México, mientras que Lichonycteris obscura es la especie con menos información.  Ninguna especie de murciélago alcanzó un registro mayor al 65 % de la riqueza esperada.  Las localidades donde se ha estudiado la dieta de estos murciélagos se concentran en provincias biogeográficas correspondientes a la región Neotropical del país.  Discusión y Conclusiones: El conocimiento sobre la dieta de nectarívoros glosofaginos en México está lejos de estar completado.  La distribución de localidades de dieta está sesgada en una gran parte de su distribución geográfica y parece relacionarse positivamente con áreas de mayor riqueza de especies de murciélagos.

Industry effects on evidence: a case study of long-acting injectable antipsychotics.

A vigorously debated issue in the psychiatric literature is whether long-acting injectable antipsychotics (LAIs) show clinical benefit over antipsychotics taken orally. In addressing this question, it is critical that systematic reviews incorporate risk of bias assessments of trial data in a robust way and are free of undue industry influence. In this paper, we present a case analysis in which we identify some of the design problems in a recent systematic review on LAIs vs oral formulations. This case illustrates how evidence syntheses that are shaped by commercial interests may undermine patient-centered models of recovery and care. We offer recommendations that address both the bioethical and research design issues that arise in the systematic review process when researchers have financial conflicts of interest.

Can research integrity prevail in the market? Lessons from commissioned research organizations.

Competition and exposure to market forces can make it difficult for researchers to conduct their work with integrity. Some research organizations must acquire most of their funding through commissioned research, providing research services for paying clients. Studying such organizations can give insight into how researchers try, and sometimes fail, to balance academic norms with the need to secure funding. Based on interviews with social scientists in commissioned research organizations, this study shows how clients can exert an undue influence on the research process and how competition for funding can make it difficult to live up to academic quality standards. However, it also shows how commissioned research can be a source of identity and motivation. It involves a high degree of impact and access to good data, as clients commission research projects because they want knowledge to solve specific problems. Moreover, the participants discussed how they and the organizations where they worked learned from their experiences how to counteract the negative aspects of competition.

Pitfalls in Study Interpretation.

Background: The goal of a randomized or observational study is to develop an unbiased and reliable answer to a therapeutic question. However, there are multiple pitfalls in the reporting and interpretation of data that can compromise our ability to evaluate the pragmatism and the effectiveness of the intervention being studied. Researchers must be conscious of these biases when designing their studies, just as readers must be aware of these potential pitfalls when interpreting results. Results: The purpose of this review is to highlight some of the more common sources of bias in clinical research, including internal and external validity, type 1 and type 2 error, reporting of secondary outcomes, the use of subgroup analyses, and multiple comparisons. This article also discusses potential solutions to these issues, including using the fragility index to understand the robustness of study conclusions, and generating an E value to determine the degree of unmeasured confounding in a study. Conclusions: With an understanding of these pitfalls, readers can critically review scientific literature and ascertain the validity of the conclusions.

Species bias and spillover effects in scientific research on Carnivora in China.

Scientific research provides essential information for conservation of threatened species. Data deficiency due to insufficient research impedes the design of conservation plans, and research bias may mistakenly direct limited resources to low biodiversity regions or less threatened species. Here, we conducted a systematic review of published papers, grants, and graduate student training on carnivorans in China to identify species bias and research gaps. Furthermore, we collected intrinsic and extrinsic features of carnivorans, and identified features that impact research intensity using generalized linear models. We found that the amount of research on carnivorans increased markedly after 2000, but species bias existed. Bears and big cats received the greatest research attention, while most small- and medium-sized carnivorans received little attention, thus showing the 80-20 phenomenon. Species with a higher level of endemism and protection under Chinese law received more consideration. As an animal conservation icon in China, the giant panda ( Ailuropoda melanoleuca) attracted more than 50% of overall carnivoran research resources. However, the giant panda also showed spillover effects, i.e., post-doctoral graduates who studied the giant panda shifted their research focus to other species after graduation, which may help improve research on other species. Thus, to improve and strengthen Carnivora research and conservation, we suggest investing greater effort in species of less concern, training of more graduate students, and reinforcing academic exchange. If such actions are not taken, many carnivoran species will continue being data deficient and threatened.