Evidence map›Paper›PMID 30109578›Full record

ArticleDigestive diseases and sciences2018

Survival Disparities by Race and Ethnicity in Early Esophageal Cancer.

Angela C Tramontano, Ryan Nipp, Nathaniel D Mercaldo, Chung Yin Kong, Deborah Schrag, Chin Hur

Abstract read
In one paragraph

Article in Digestive diseases and sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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  4. Article
  5. Review
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  7. Article
  8. Article
  9. Article
  10. Epidemiology and Outcomes of Young-Onset Esophageal Adenocarcinoma: An Analysis from a Population-Based Database.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. The Four Horsemen in Colon Cancer.Journal of oncology · 2019
    Review
  16. Article
  17. Clinical-morphological profiles of esophageal carcinoma's main types.Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Angela C TramontanoInstitute for Technology Assessment, Massachusetts General Hospital, Boston, MA, USA.
Ryan NippDepartment of Medicine, Division of Hematology and Oncology, Massachusetts General Hospital Cancer Center, Boston, USA.
Nathaniel D MercaldoInstitute for Technology Assessment, Massachusetts General Hospital, Boston, MA, USA.
Chung Yin KongInstitute for Technology Assessment, Massachusetts General Hospital, Boston, MA, USA.
Deborah SchragDana-Farber Cancer Institute, Harvard Medical School, Boston, USA.
Chin HurInstitute for Technology Assessment, Massachusetts General Hospital, Boston, MA, USA. chur@mgh-ita.org.

Funding

Controlling Esophageal Cancer: A Collaborative Modeling ApproachU01CA199336 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI HUR, CHIN, INADOMI, JOHN MATTHEW · 2015 to 2019
$5.9M
Improving Esophageal Adenocarcinoma Prevention, Screening and TreatmentR01CA140574 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI HUR, CHIN · 2010 to 2018
$3.4M
NCI NIH HHS R01 CA140574NCI NIH HHS U01 CA199336
6 · The paper itself

Abstract

backgroundSurvival outcome disparities among esophageal cancer patients exist, but are not fully understood.

aimsWe used the Surveillance, Epidemiology, and End Results (SEER)-Medicare linked database to determine whether survival differences among racial/ethnic patient populations persist after adjusting for demographic and clinical characteristics.

methodsOur study included T1-3N0M0 adenocarcinoma and squamous cell cancer patients diagnosed between 2003 and 2011. We compared survival among two racial/ethnic patient subgroups using Cox proportional hazards methods, adjusting for age, sex, histology, marital status, socioeconomics, SEER region, comorbidities, T stage, tumor location, diagnosis year, and treatment received.

resultsAmong 2025 patients, 87.9% were White and 12.1% were Nonwhite. Median survival was 18.7 months for Whites vs 13.8 months for Nonwhites (p = 0.01). In the unadjusted model, Nonwhite patients had higher risk of mortality (HR = 1.29, 95% CI 1.11-1.49, p < 0.0001) when compared to White patients; however, in the Cox regression adjusted model there was no significant difference (HR = 0.94, 95% CI 0.80-1.10, p = 0.44). Surgery, chemotherapy, younger age, lower T stage, and lower Charlson comorbidity score were significant predictors in the full adjusted model.

conclusionsDifferences in mortality risk by race/ethnicity appear to be largely explained by additional factors. In particular, associations were seen in surgery and T stage. Further research is needed to understand potential mechanisms underlying the differences and to better target patients who can benefit from treatment options.

Indexed as

AdenocarcinomaAgedAged, 80 and overCarcinoma, Squamous CellEsophageal NeoplasmsFemaleHumansMaleSEER ProgramDisparitiesEsophageal cancerOutcomesSEER-MedicareSurvival

Identifiers

PMID30109578
PMCPMC6738563

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.