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Survival Outcomes and Patterns of Care for Stage II or III Resected Gastric Cancer by Race and Ethnicity

2023· article· en· W4390048891 on OpenAlexaff
Shujuan Wu, S. Keshavjee, Sam S. Yoon, Steve Kwon

Bibliographic record

VenueJAMA Network Open · 2023
Typearticle
Languageen
FieldMedicine
TopicGastric Cancer Management and Outcomes
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineInternal medicineNeoadjuvant therapyCancerRetrospective cohort studyCohortHazard ratioStage (stratigraphy)Proportional hazards modelOncologyEthnic groupAdenocarcinomaRadiation therapyBreast cancerConfidence interval

Abstract

fetched live from OpenAlex

Importance: Many multimodality treatment regimens exist for gastric adenocarcinoma, including neoadjuvant vs adjuvant chemotherapy, radiation, or both. Neoadjuvant therapy is recommended in the United States for patients with locally advanced gastric cancer; however, it is unknown whether the outcomes of neoadjuvant therapy are associated with race and ethnicity. Objective: To evaluate the differences in outcomes by race and ethnicity of patients with noncardia gastric cancer undergoing surgical procedures with and without neoadjuvant therapy. Design, Setting, and Participants: This retrospective cohort study examined the National Cancer Database from the American College of Surgeons for patients with clinical stage II or III gastric adenocarcinoma, excluding gastric cardia tumors, undergoing surgical resection procedures from January 2006 to December 2019. Statistical analysis was performed from December 2021 to May 2023. Exposure: Patients were stratified by race and ethnicity, and their outcomes were analyzed for those who received and did not receive neoadjuvant therapy. Main Outcomes and Measures: The Cox proportional hazard model was used to compare overall survival (OS) between racial and ethnic groups (Asian, Black, Hispanic, and White) overall and according to receipt of neoadjuvant therapy. Among those who received neoadjuvant therapy, proportional differences in pathological responses were calculated in each group. Results: Among a total of 6938 patients in the cohort, 4266 (61.4%) were male; mean (SD) age was 65.9 (12.8) years; 1046 (15.8%) were Asian, 1606 (24.3%) were Black, 1175 (17.8%) were Hispanic, and 3540 (53.6%) were White. Compared with other races and ethnicities, the group of White patients had significantly more who were 65 years or older with more comorbidities. White patients underwent surgical resection procedures alone without neoadjuvant or adjuvant therapy more frequently than other races and ethnicities. Asian and Black patients had the highest proportion of being downstaged or achieving pathological complete response after neoadjuvant therapy. In multivariate models, perioperative chemotherapy was associated with improved OS (HR, 0.79 [95% CI, 0.69-0.90]), whereas number of positive lymph nodes and surgical margins were associated with the largest decreases in OS. Asian and Hispanic race and ethnicity were associated with significantly improved OS compared with Black and White races (eg, Asian patients: HR, 0.64 [95% CI, 0.58-0.72]; and Hispanic patients: HR, 0.77 [95% CI, 0.69-0.85]). Black race was associated with improved OS compared with White race when receiving neoadjuvant therapy (HR, 0.78 [95% CI, 0.67-0.90]). Conclusions and Relevance: In this large nationwide cohort study of survival outcomes among patients with resected clinical stage II or III gastric cancer, there were significant differences in response to treatment and OS between different racial and ethnic groups.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.492

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.353
Teacher spread0.308 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2023
Admission routes1
Has abstractyes

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