Dollar Stores and Food Access for Rural Households in the United States, 2008‒2020.

Dollar stores have rapidly expanded their food offerings in recent years. These foods tend to be higher in calories and lower in nutrients, raising public health concerns, especially in rural and low-income areas where food-access challenges are often greatest. However, there is limited empirical evidence evaluating the impact of this expansion on household food purchases on a national scale. Using data from a yearly, nationally representative panel of approximately 50 000 households, we estimated the share of food purchases from 2008 to 2020 by store type and evaluated the role of dollar stores as food retailers in the United States. We found that dollar stores were the fastest-growing food retailers by household expenditure share (increasing by 89.7%), with rural growth outpacing growth elsewhere (increasing by 102.9%). Though dollar stores still represent a small share of national household food purchases (2.1% in 2020), they play an increasingly prominent role in food-at-home purchases for certain disadvantaged and rural communities. Understanding the quality of the foods they offer and how this may affect diet-related health outcomes is warranted. (Am J Public Health. 2023;113(3):331-336. https://doi.org/10.2105/10.2105/AJPH.2022.307193).

Regulating the N-Coordination Structure of Fe-Fe Dual Sites as the Electrocatalyst for the O2 Reduction Reaction in Metal-Air Batteries.

Iron-nitrogen coordinated catalysts are regarded as efficient catalysts for the oxygen (O2) reduction reaction (ORR), wherein the coordination environment of Fe sites is critical to the catalytic activity. Herein, we explored the effect of the nitrogen-coordination structure of dual-atomic Fe2 sites (i.e., Fe2-N6-C and Fe2-N4-C) on the performance of the ORR. The half-wave potential (E1/2) of Fe2-N6-C is 0.880 V vs RHE, outperforming that of the tetracoordinate Fe2-N4-C (0.851 V) and commercial Pt/C (0.850 V) in alkaline electrolytes. The Fe2-N6-C-based zinc-air battery delivers a maximum power density of (258.6 mW/cm2) and superior durability under 10 mA/cm2. Theoretical calculations unveil that the moieties of Fe2-N6 profits the d-electron rearrangement of the Fe2 sites. The electronic and geometrical structure of Fe2-N6 promotes the O2 molecules adsorbed on the Fe2 site and reduces the dissociation energy barrier of O2, benefiting fracture of O-O bonds and acceleration of the transformation of O2 to *OOH (the first step of the ORR process). Such exploration of modulating the local N-coordination environment of Fe2 dimers paves an in-depth insight to design and optimize dual-atomic catalysts.

Who Are the Local Policy Innovators? Cluster Analysis of Municipal Tobacco Control Policies in Massachusetts.

CONTEXT: Tobacco use is a leading cause of preventable death, yet it is challenging to establish public policy to reduce tobacco use. Massachusetts has been a national leader in tobacco control, and its policy-making patterns can be informative to the country. OBJECTIVE: To identify factors associated with the adoption of tobacco policy within 351 Massachusetts municipalities. DESIGN: We obtained the 2019 Massachusetts municipality-level tobacco control policy information from Massachusetts' Tobacco Automated Fact Sheet Information system and compiled it with data from American Community Survey, Massachusetts Municipal Association, and Massachusetts state government's Web sites. We used k -means clustering method to identify statistical clustering patterns and hotspot analysis (Getis-Ord Gi*) and Local Indicators of Spatial Association to identify geographic clustering patterns. We then performed multinomial logistic regression to identify factors associated with policy clusters. SETTING: Massachusetts. PARTICIPANTS: Three hundred fifty-one municipalities in Massachusetts. MAIN OUTCOME MEASURE: Policy clusters-groups of municipalities with similar tobacco control policy behaviors. RESULTS: Based on the k -means analyses, we identified 3 clusters in Massachusetts municipal tobacco control policy behaviors: 54% (N = 191) of municipalities were "Policy Leaders" with a high adoption rate of the 6 tobacco control policies; 18% (N = 63) were "Peer-Influenced Actors" focused on tobacco purchase restrictions for individuals younger than 21 years; and 28% (N = 97) were "Policy Non-Actors," with no tobacco control policies in place. Policy Leaders were geographically clustered in larger cities and the MetroWest region. Policy Non-Actors were clustered in rural areas of Western and Central Massachusetts. Larger municipal population size, higher municipal tax income, and higher percentages of residents voting Democratic were associated with higher policy adoption activities. CONCLUSIONS: Local variation in the adoption of tobacco policies may exacerbate inequities in tobacco use and population health. Opportunities remain to implement additional tobacco control regulations at the local level to promote public health.

Tuning Active Species in N-Doped Carbon with Fe/Fe3C Nanoparticles for Efficient Oxygen Reduction Reaction.

Transition metal-nitrogen-carbon (M-N-C) catalysts (M = Fe, Co, etc.) are the most promising substituents of Pt-based catalysts for oxygen reduction reaction (ORR). However, the insufficient active species in catalysts inevitably hamper their widespread applications. Herein, we report the regulation of the active species in the catalysts of multicomponent N-doped carbon with Fe/Fe3C nanoparticles by polydopamine (PDA) coating. It is found that the PDA is conducive to increasing the pyridinic, graphitic, and total N content in the carbon matrix. Benefiting from the chelating effects, the PDA further profits the formation of Fe-Nx structures and the implantation of Fe/Fe3C nanoparticles in the matrix during the pyrolysis. As expected, the resultant catalysts exhibit over 15 times mass activity toward ORR than nitrogen-doped carbon. Moreover, our developed catalysts show long-term stability as well as high methanol tolerance, which is superior to that of the commercial Pt/C electrode. This work provides a new avenue to explore a wider range of high-performance ORR electrocatalysts by regulating the active species.

Assessing equity in health, wealth, and civic engagement: a nationally representative survey, United States, 2020.

BACKGROUND: The principle of equity is fundamental to many current debates about social issues and plays an important role in community and individual health. Traditional research has focused on singular dimensions of equity (e.g., wealth), and often lacks a comprehensive perspective. The goal of this study was to assess relationships among three domains of equity, health, wealth, and civic engagement, in a nationally representative sample of U.S. residents. METHODS: We developed a conceptual framework to guide our inquiry of equity across health, wealth, and civic engagement constructs to generate a broad but nuanced understanding of equity. Through Ipsos' KnowledgePanel service, we conducted a cross-sectional, online survey between May 29-June 20, 2020 designed to be representative of the adult U.S. POPULATION: Based on our conceptual framework, we assessed the population-weighted prevalence of health outcomes and behaviors, as well as measures of wealth and civic engagement. We linked individual-level data with population-level environmental and social context variables. Using structural equation modeling, we developed latent constructs for wealth and civic engagement, to assess associations with a measured health variable. RESULTS: We found that the distribution of sociodemographic, health, and wealth measures in our sample (n = 1267) were comparable to those from other national surveys. Our quantitative illustration of the relationships among the domains of health, wealth, and civic engagement provided support for the interrelationships of constructs within our conceptual model. Latent constructs for wealth and civic engagement were significantly correlated (p = 0.013), and both constructs were used to predict self-reported health. Beta coefficients for all indicators of health, wealth, and civic engagement had the expected direction (positive or negative associations). CONCLUSION: Through development and assessment of our comprehensive equity framework, we found significant associations among key equity domains. Our conceptual framework and results can serve as a guide for future equity research, encouraging a more thorough assessment of equity.

The alterations of circular RNA expression in plasma exosomes from patients with schizophrenia.

Schizophrenia (SZ) is characterized by a high morbidity and disability rate and has gradually increased in rate and caused much burden. However, the pathogenesis of SZ is elusive and may include changes in the biological molecules in exosomes. In this study, we first compared the alterations of plasma exosomal circular RNAs (exo-circRNAs) from SZ patients and matched health controls by high-throughput sequencing. We further explored whether plasma exo-circRNAs can be estimable targets for researching the pathogenesis, potential diagnostic biomarkers, and therapeutic strategy of SZ. A total of 44 plasma exo-circRNAs were differentially expressed between SZ patients and matched Health Controls, including 38 upregulated circRNAs and six downregulated circRNAs (fold change ≥2; p < .05). Eight differentially expressed circRNAs were verified by quantitative real-time polymerase chain reaction, and four out of eight circRNAs were positively confirmed and contained binding sites to many microRNAs. Bioinformatics analysis, including Gene Ontology analysis and Kyoto Encyclopedia of Genes and Genomes pathway analysis, showed that these differentially expressed circRNAs played potential roles in pathogenesis, especially regarding the metabolic process, stress response, and histone ubiquitination. In conclusion, this study supplies a new window for understanding the pathogenesis of SZ at molecular levels, and serves as a tool for better exploring potential diagnostic biomarkers and the therapeutic strategy for SZ.

Hydroxyl/amino and Fe(III) co-grafted graphite carbon nitride for photocatalytic removal of volatile organic compounds.

Hydroxyl/amino and Fe(III) co-grafted graphite carbon nitride (CN) is fabricated via alkaline hydrothermal treatment and followed by an impregnation adsorption process. In this unique fabrication, hydroxyl and amino groups enriched on the surface play a vital role in improving the adsorption capacity for volatile organic compounds (VOCs), while the grafted amorphous Fe(III) clusters could dominantly regulate the path of molecular oxygen activation via photo-Fenton reaction, and change the selectivity of intermediate reactive oxygen species (ROS) with the assistant of the rich surficial hydroxyl groups. Meanwhile, both the grafted functional groups and Fe(III) clusters can serve as photogenerated charge acceptors for collaboratively accelerating carriers' separation. Besides, the Fe(III)-mediated interfacial charge transfer effect (IFCT) also could extend visible light absorption and boost carriers' generation. Benefiting from the virtues of the complementary and synergy of the grafted hydroxyl/amino and Fe(III), the dual-functionalized CN is qualified as an efficient photocatalyst for removal of VOCs, which exhibits 22 and 18 times isopropanol (IPA) adsorption capacity and CO2 production than of pristine CN during photocatalytic IPA removal, respectively. Moreover, this work provides a new strategy of surficial group-cluster bifunctionalization for systematically improving sustainable solar-to-chemical energy conversion towards VOCs mineralization.

Fighting obesity at the local level? An analysis of predictors of local health departments' policy involvement.

Obesity is a critical public health issue in the United States. Local health departments (LHDs) can play a crucial role in public health policy, and are well-positioned to address obesity in their communities. We assess the obesity policy involvement among LHDs across the United States and the factors associated with increased involvement. Data come from 1803 LHDs in the 2016 National Profile of Local Health Department survey, supplemented with county-level obesity prevalence and political ideology. Negative binomial regressions examined LHD and regional characteristics associated with the number of obesity policies with which LHDs were involved. Almost half (46.1%) of LHDs reported no involvement with local obesity policies. Several factors were associated with increased policy involvement: having local boards of health with advisory (IRR = 1.31, p < 0.05) or governance roles (IRR = 1.27, p < 0.01), larger workforces (IRR = 1.34, p < 0.001), accreditation (IRR = 1.40, p < 0.001), higher obesity prevalence (IRR = 1.03, p < 0.01), and being politically more liberal (IRR = 1.01, p < 0.05). Overall, the large number of LHDs with no or limited involvement in obesity policies is a missed opportunity for local action. A better understanding of LHD policy involvement, how organizational and political factors enable or constrain their actions, and how they can leverage their current authority is needed to help LDHs serve local needs.

What is driving global obesity trends? Globalization or "modernization"?

BACKGROUND: Worldwide obesity has more than doubled since 1980. Researchers have attributed rising obesity rates to factors related to globalization processes, which are believed to contribute to obesity by flooding low-income country markets with inexpensive but obesogenic foods and diffusing Western-style fast food outlets (dependency/world systems theory). However, alternative explanations include domestic factors such as increases in unhealthy food consumption in response to rising income and higher women's labor force participation as countries develop economically ("modernization" theory). To what extent are processes of globalization driving rising global overweight/obesity rates versus domestic economic and social development processes? This study evaluates the influence of economic globalization versus economic development and associated processes on global weight gain. RESULTS: Using two-way fixed-effects OLS regression with a panel dataset of mean body weight for 190-countries over a 30-year period (1980-2008), we find that domestic factors associated with "modernization" including increasing GDP per capita, urbanization and women's empowerment were associated with increases in mean BMI over time. There was also evidence of a curvilinear relationship between GDP per capita and BMI: among low income countries, economic growth predicted increases in BMI whereas among high-income countries, higher GDP predicted lower BMI. By contrast, economic globalization (dependency/world systems theory) did not significantly predict increases in mean BMI and cultural globalization had mixed effects. These results were robust to different model specifications, imputation approaches and variable transformations. DISCUSSION: Global increases in overweight/obesity appear to be driven more by domestic processes including economic development, urbanization and women's empowerment, and are less clearly negatively impacted by external globalization processes suggesting that the harms to health from global trade regimes may be overstated.

Menu labels, for better, and worse? Exploring socio-economic and race-ethnic differences in menu label use in a national sample.

Menu calorie labeling aims to empower customers to make healthier food choices, but researchers have questioned whether labels will empower those with greater health literacy, literacy or numeracy more, possibly reinforcing race-ethnic or socioeconomic inequalities in obesity. The goal of this study was to investigate differences in seeing and using restaurant menu calorie labels and whether differences have compounded over time. Using data from three rounds of the National Health and Nutrition Examination Survey covering the period 2007-2014, we investigate race-ethnic and socio-economic differences in menu label usage over time adjusting for sex, age and body weight. While menu label usage increased over time, not all groups increased their use equally. While we find that Blacks and Hispanics use labels more than Whites in sit-down restaurants, more educated individuals, higher income groups and Whites each increased the degree to which they saw and/or used labels in certain settings compared with other groups. This study reinforces concerns that menu-calorie labeling may exacerbate socio-economic and certain race-ethnic obesity differences. As menu labeling policy moves forward to be implemented federally, more attention may need to be diverted to educational campaigns accompanying the implementation and improving the labels so the information is easier to use.

Delivering Partner Services to Reduce Transmission and Promote Linkage to Care: Process Outcomes Varied for Chlamydial Infection, Gonorrhea, HIV, and Syphilis Cases.

CONTEXT: Partner services for HIV and sexually transmitted diseases, a public health intervention activity recommended by the Centers for Disease Control and Prevention, includes counseling, partner notification, linkage to care, and referral to other services. OBJECTIVE: A time study of partner services case investigations documented differences in times to process HIV/sexually transmitted disease cases. SETTING: Cases were from 9 local and regional sites in New York. PARTICIPANTS: Fifty-two partner services disease investigators documented 542 randomly selected cases (271 chlamydial infections, 162 gonorrhea, 48 HIV, and 61 syphilis cases) assigned between June and September 2014. Cases were the unit of the analysis and represented 6.9% of all partner services investigations in 2014. DESIGN: Cases were selected via stratified random sampling of infections assigned to staff. For each case, disease investigators completed a standard time study form to document the time spent on specific tasks and other outcomes. Kruskal-Wallis tests for continuous variables and χ tests for categorical variables assessed variation in outcomes across infection type. MAIN OUTCOME MEASURES: Outcomes included minutes spent on specific tasks (such as medical provider and index case outreach, travel, and partner notification), days the case remained open, disposition codes, and number of partners reached. RESULTS: Case processing times varied, with HIV and syphilis tasks taking more minutes (P < .001) and cases staying open for more days (P < .001). Partners were notified in 33% of cases overall, with more notifications in syphilis (44%). Most time (median = 77%) was spent on index cases and 2% (median) on partner notification, with a wide range across cases. CONCLUSIONS: Given their chronic resource constraints, public health agencies must identify efficient methods to allocate resources, including which infections to prioritize. Documenting how workers allocate time across cases is essential to improving the effectiveness and efficiency of this program and generating the data to model return on investment.

Product Channels in the Reaction of the Hydroxymethyl Radical with Nitric Oxide.

The products of the reaction of CH2OH with NO were studied by infrared diode laser spectroscopy. Products were detected to determine the branching ratios of the CH2OH + NO reaction. HNCO was detected in 10.3 ± 2% yields. No other products were detected in significant quantities, indicating that adduct formation is the primary reaction pathway. Ab initio calculations of the potential energy surface show a low energy pathway to HNCO + H2O, but no other bimolecular channels, in agreement with the experiments.

Defect self-doped TiO2 for visible light activity and direct noble metal anchoring.

A facile approach was developed for preparing defective, self-doped TiO2, which shows remarkable visible light activity in the photocatalytic degradation of RhB and hydrogen liberation from water. Moreover, noble metal was directly deposited onto the TiO2 surface via an in situ redox reaction between surficial Ti(3+) and metal salt. The lack of involvement of foreign reducing agents or stabilizers permits intimate contact between metal nanoparticles and the TiO2 substrate, which ensures the facilitated interfacial charge transfer. The strategy presented in this work may be applied to design other defect and noble metal mediated visible-light-active photocatalysts.

Constructing atomic layer g-C3N4-CdS nanoheterojunctions with efficiently enhanced visible light photocatalytic activity.

Ultrathin two dimensional (2D) materials have triggered extensive interest for their exceptional properties and potential applications. Herein, atomic layer graphitic carbon nitride (g-C3N4) was obtained by a simple ultrasonic exfoliation approach, and cadmium sulfide (CdS) nanoparticles were successfully grown on these ultrathin g-C3N4 nanosheets (UCNNS) via a facile solvothermal method. The as-prepared UCNNS-CdS nanocomposite exhibits significantly enhanced photocatalytic activity for methyl orange (MO) degradation under visible light irradiation. The enhancement of the photocatalytic activity should be attributed to the well-matched band structure and intimate contact interfaces between the UCNNS and CdS, which lead to the effective transfer and separation of the photogenerated charge carriers. The mechanism for the photodegradation of MO by the composite was also investigated in this study. This study highlights the potential applications of atomic layer g-C3N4 based photocatalysts, and we hope our work may provide a new insight for the construction of photocatalysts with efficient visible light activity.

Quantification of the 248 nm photolysis products of HCNO (fulminic acid).

IR diode laser spectroscopy was used to detect the products of HCNO (fulminic acid) photolysis at 248 nm. Five product channels are energetically possible at this photolysis wavelength: O + HCN, H + (NCO), CN + OH, CO + NH, and HNCO. In some experiments, isotopically labeled (18)O2, (15)N(18)O and C2D6 reagents were included into the photolysis mixture in order to suppress and/or isotopically label possible secondary reactions. HCN, OC(18)O, C(18)O, NCO, DCN, and NH molecules were detected upon laser photolysis of HCNO/reagents/buffer gas mixtures. Analysis of the yields of product molecules leads to the following photolysis quantum yields: ϕ1a (O + HCN) = 0.39 ± 0.07, ϕ1b (H + (NCO)) = 0.21 ± 0.04, ϕ1c (CN + OH) = 0.16 ± 0.04, ϕ1d (CN + NH(a(1)Δ)) = 0.19 ± 0.03, and ϕ1e (HNCO) = 0.05 ± 0.02, respectively. The uncertainties include both random errors (1σ) and consideration of major sources of systematic error. In conjunction with the photolysis experiment, the H + HCNO reaction was investigated. Experimental data demonstrate that this reaction is very slow and does not contribute significantly to the secondary chemistry.

Unraveling Synergistic Effect of Defects and Piezoelectric Field in Breakthrough Piezo-Photocatalytic N2 Reduction.

Piezo-photocatalysis is a frontier technology for converting mechanical and solar energies into crucial chemical substances and has emerged as a promising and sustainable strategy for N2 fixation. Here, for the first time, defects and piezoelectric field are synergized to achieve unprecedented piezo-photocatalytic nitrogen reduction reaction (NRR) activity and their collaborative catalytic mechanism is unraveled over BaTiO3 with tunable oxygen vacancies (OVs). The introduced OVs change the local dipole state to strengthen the piezoelectric polarization of BaTiO3 , resulting in a more efficient separation of photogenerated carrier. Ti3+ sites adjacent to OVs promote N2 chemisorption and activation through d-π back-donation with the help of the unpaired d-orbital electron. Furthermore, a piezoelectric polarization field could modulate the electronic structure of Ti3+ to facilitate the activation and dissociation of N2 , thereby substantially reducing the reaction barrier of the rate-limiting step. Benefitting from the synergistic reinforcement mechanism and optimized surface dynamics processes, an exceptional piezo-photocatalytic NH3 evolution rate of 106.7 µmol g-1  h-1 is delivered by BaTiO3 with moderate OVs, far surpassing that of previously reported piezocatalysts/piezo-photocatalysts. New perspectives are provided here for the rational design of an efficient piezo-photocatalytic system for the NRR.

Cystic renal mass screening: machine-learning-based radiomics on unenhanced computed tomography.

PURPOSE: The present study compares the diagnostic performance of unenhanced computed tomography (CT) radiomics-based machine learning (ML) classifiers and a radiologist in cystic renal masses (CRMs). METHODS: Patients with pathologically diagnosed CRMs from two hospitals were enrolled in the study. Unenhanced CT radiomic features were extracted for ML modeling in the training set (Guangzhou; 162 CRMs, 85 malignant). Total tumor segmentation was performed by two radiologists. Features with intraclass correlation coefficients of >0.75 were screened using univariate analysis, least absolute shrinkage and selection operator, and bidirectional elimination to construct random forest (RF), decision tree (DT), and k-nearest neighbor (KNN) models. External validation was performed in the Zhuhai set (45 CRMs, 30 malignant). All images were assessed by a radiologist. The ML models were evaluated using calibration curves, decision curves, and receiver operating characteristic (ROC) curves. RESULTS: Of the 207 patients (102 women; 59.1 ± 11.5 years), 92 (41 women; 58.0 ± 13.7 years) had benign CRMs, and 115 (61 women; 59.8 ± 11.4 years) had malignant CRMs. The accuracy, sensitivity, and specificity of the radiologist's diagnoses were 85.5%, 84.2%, and 91.1%, respectively [area under the (ROC) curve (AUC), 0.87]. The ML classifiers showed similar sensitivity (94.2%-100%), specificity (94.7%-100%), and accuracy (94.3%-100%) in the training set. In the validation set, KNN showed better sensitivity, accuracy, and AUC than DT and RF but weaker specificity. Calibration and decision curves showed excellent and good results in the training and validation set, respectively. CONCLUSION: Unenhanced CT radiomics-based ML classifiers, especially KNN, may aid in screening CRMs.

NOX1 triggers ferroptosis and ferritinophagy, contributes to Parkinson's disease.

The progressive loss of dopaminergic neurons in the midbrain is the hallmark of Parkinson's disease (PD). A newly emerging form of lytic cell death, ferroptosis, has been implicated in PD. However, it remains unclear in terms of PD-associated ferroptosis underlying causative genes and effective therapeutic approaches. This research explored the underlying mechanism of ferroptosis-related genes in PD. Here, Firstly, we found NOX1 associated with ferroptosis differently in PD patients by bioinformatics analysis. In vitro and in vivo models of PD were constructed to explore the underlying mechanism. qPCR, Western blot analysis, immunohistochemistry, immunofluorescence, Ferro orange, and BODIPY C11 were utilized to analyze the levels of ferroptosis. Transcriptomics sequencing was to investigate the downstream pathway and the analysis of immunoprecipitation to validate the upstream factor. In conclusion, NOX1 upregulation and activation of ferroptosis-related neurodegeneration, therefore, might be useful as a clinical therapeutic agent.

PET/CT deep learning prognosis for treatment decision support in esophageal squamous cell carcinoma.

OBJECTIVES: The clinical decision-making regarding choosing surgery alone (SA) or surgery followed by postoperative adjuvant chemotherapy (SPOCT) in esophageal squamous cell carcinoma (ESCC) remains controversial. We aim to propose a pre-therapy PET/CT image-based deep learning approach to improve the survival benefit and clinical management of ESCC patients. METHODS: This retrospective multicenter study included 837 ESCC patients from three institutions. Prognostic biomarkers integrating six networks were developed to build an ESCC prognosis (ESCCPro) model and predict the survival probability of ESCC patients treated with SA and SPOCT. Patients who did not undergo surgical resection were in a control group. Overall survival (OS) was the primary end-point event. The expected improvement in survival prognosis with the application of ESCCPro to assign treatment protocols was estimated by comparing the survival of patients in each subgroup. Seven clinicians with varying experience evaluated how ESCCPro performed in assisting clinical decision-making. RESULTS: In this retrospective multicenter study, patients receiving SA had a median OS 9.2 months longer than controls. No significant differences in survival were found between SA patients with predicted poor outcomes and the controls (p > 0.05). It was estimated that if ESCCPro was used to determine SA and SPOCT eligibility, the median OS in the ESCCPro-recommended SA group and SPOCT group would have been 15.3 months and 24.9 months longer, respectively. In addition, ESCCPro also significantly improved prognosis accuracy, certainty, and the efficiency of clinical experts. CONCLUSION: ESCCPro assistance improved the survival benefit of ESCC patients and the clinical decision-making among the two treatment approaches. CRITICAL RELEVANCE STATEMENT: The ESCCPro model for treatment decision-making is promising to improve overall survival in ESCC patients undergoing surgical resection and patients undergoing surgery followed by postoperative adjuvant chemotherapy. KEY POINTS: ESCC is associated with a poor prognosis and unclear ideal treatments. ESCCPro predicts the survival of patients with ESCC and the expected benefit from SA. ESCCPro improves clinicians' stratification of patients' prognoses.