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1.
Stat Methods Med Res ; 33(5): 745-764, 2024 May.
Artigo em Inglês | MEDLINE | ID: mdl-38502022

RESUMO

Assessing heterogeneity between studies is a critical step in determining whether studies can be combined and whether the synthesized results are reliable. The I2 statistic has been a popular measure for quantifying heterogeneity, but its usage has been challenged from various perspectives in recent years. In particular, it should not be considered an absolute measure of heterogeneity, and it could be subject to large uncertainties. As such, when using I2 to interpret the extent of heterogeneity, it is essential to account for its interval estimate. Various point and interval estimators exist for I2. This article summarizes these estimators. In addition, we performed a simulation study under different scenarios to investigate preferable point and interval estimates of I2. We found that the Sidik-Jonkman method gave precise point estimates for I2 when the between-study variance was large, while in other cases, the DerSimonian-Laird method was suggested to estimate I2. When the effect measure was the mean difference or the standardized mean difference, the Q-profile method, the Biggerstaff-Jackson method, or the Jackson method was suggested to calculate the interval estimate for I2 due to reasonable interval length and more reliable coverage probabilities than various alternatives. For the same reason, the Kulinskaya-Dollinger method was recommended to calculate the interval estimate for I2 when the effect measure was the log odds ratio.


Assuntos
Metanálise como Assunto , Humanos , Modelos Estatísticos , Simulação por Computador , Interpretação Estatística de Dados
2.
Pediatr Blood Cancer ; 70(11): e30634, 2023 11.
Artigo em Inglês | MEDLINE | ID: mdl-37592363

RESUMO

Chemotherapy-induced peripheral neuropathy (CIPN), a common condition in children with acute lymphoblastic leukemia, can be challenging to diagnose. Using data from Children's Oncology Group AALL0932 physical function study, we sought to determine if parent/guardian proxy-reported responses from the Pediatric Outcomes Data Collection Instrument could identify children with motor or sensory CIPN diagnosed by physical/occupational therapists (PT/OT). Four variables moderately discriminated between children with and without motor CIPN (c-index 0.76, 95% confidence interval [CI]: 0.64-0.84), but sensory and optimism-corrected models had weak discrimination (c-index sensory models 0.65, 95% CI: 0.54-0.74). New proxy-report measures are needed to identify children with PT/OT diagnosed CIPN.


Assuntos
Antineoplásicos , Doenças do Sistema Nervoso Periférico , Leucemia-Linfoma Linfoblástico de Células Precursoras B , Leucemia-Linfoma Linfoblástico de Células Precursoras , Humanos , Criança , Doenças do Sistema Nervoso Periférico/induzido quimicamente , Doenças do Sistema Nervoso Periférico/diagnóstico , Leucemia-Linfoma Linfoblástico de Células Precursoras B/complicações , Leucemia-Linfoma Linfoblástico de Células Precursoras B/diagnóstico , Leucemia-Linfoma Linfoblástico de Células Precursoras/complicações , Leucemia-Linfoma Linfoblástico de Células Precursoras/tratamento farmacológico , Exame Físico , Qualidade de Vida , Antineoplásicos/uso terapêutico
3.
J Pain ; 24(8): 1465-1477, 2023 08.
Artigo em Inglês | MEDLINE | ID: mdl-37178095

RESUMO

Shoulder pain is a highly prevalent musculoskeletal condition that frequently leads to suboptimal clinical outcomes. This study tested the extent to which circulating inflammatory biomarkers are associated with reports of shoulder pain and upper-extremity disability for a high-risk genetic by psychological subgroup (catechol-O-methyltransferase [COMT] variation by pain catastrophizing [PCS]). Pain-free adults meeting high-risk COMT × PCS subgroup criteria completed an exercise-induced muscle injury protocol. Thirteen biomarkers were collected and analyzed from plasma 48 hours after muscle injury. Shoulder pain intensity and disability (Quick-DASH) were reported at 48 and 96 hours to calculate change scores. Using an extreme sampling technique, 88 participants were included in this analysis. After controlling for age, sex, and BMI, there were moderate positive associations between higher c-reactive protein (CRP; ߈ = .62; 95% confidence interval [CI] = -.03, 1.26), interleukin-6 (IL-6; ߈ = 3.13; CI = -.11, 6.38), and interleukin-10 (IL-10; ߈ = 2.51; CI = -.30, 5.32); and greater pain reduction from 48 to 96 hours post exercise muscle injury. Using an exploratory multivariable model to predict pain changes from 48 to 96 hours, we found participants with higher IL-10 were less likely to experience a high increase in pain (߈ = -10.77; CI = -21.25, -2.69). Study findings suggest CRP, IL-6, and IL-10 are related to shoulder pain change for a preclinical high-risk COMT × PCS subgroup. Future studies will translate to clinical shoulder pain and decipher the complex and seemingly pleiotropic interplay between inflammatory biomarkers and shoulder pain change. PERSPECTIVE: In a preclinical high-risk COMT × PCS subgroup, 3 circulating inflammatory biomarkers (CRP, IL-6, and IL-10) were moderately associated with pain improvement following exercise-induced muscle injury.


Assuntos
Lesões do Ombro , Dor de Ombro , Adulto , Humanos , Dor de Ombro/psicologia , Catecol O-Metiltransferase/genética , Interleucina-10 , Interleucina-6 , Biomarcadores
4.
Stat Biosci ; 15(1): 1-30, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-35615750

RESUMO

Biomedical studies, such as clinical trials, often require the comparison of measurements from two correlated tests in which each unit of observation is associated with a binary outcome of interest via relative risk. The associated confidence interval is crucial because it provides an appreciation of the spectrum of possible values, allowing for a more robust interpretation of relative risk. Of the available confidence interval methods for relative risk, the asymptotic score interval is the most widely recommended for practical use. We propose a modified score interval for relative risk and we also extend an existing nonparametric U-statistic-based confidence interval to relative risk. In addition, we theoretically prove that the original asymptotic score interval is equivalent to the constrained maximum likelihood-based interval proposed by Nam and Blackwelder. Two clinically relevant oncology trials are used to demonstrate the real-world performance of our methods. The finite sample properties of the new approaches, the current standard of practice, and other alternatives are studied via extensive simulation studies. We show that, as the strength of correlation increases, when the sample size is not too large the new score-based intervals outperform the existing intervals in terms of coverage probability. Moreover, our results indicate that the new nonparametric interval provides the coverage that most consistently meets or exceeds the nominal coverage probability.

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