Evidence map›Paper›PMID 37200034›Full record

ArticleJAMA network open2023

Association of Allostatic Load With All-Cause Mortality in Patients With Breast Cancer.

Samilia Obeng-Gyasi, Mohamed I Elsaid, Yurong Lu, J C Chen, William E Carson, Tarah J Ballinger, Barbara L Andersen

Abstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 3 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

52 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  9. Allostatic Load, Multimorbidity, and Overall and Cancer-Specific Survival among Older Adults in the United States.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
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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

7 authors.

Samilia Obeng-GyasiDivision of Surgical Oncology, Department of Surgery, The Ohio State University, Columbus.
Mohamed I ElsaidDepartment of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus.
Yurong LuDepartment of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus.
J C ChenDivision of Surgical Oncology, Department of Surgery, The Ohio State University, Columbus.
William E CarsonDivision of Surgical Oncology, Department of Surgery, The Ohio State University, Columbus.
Tarah J BallingerDepartment of Medicine, Indiana University School of Medicine, Indianapolis.
Barbara L AndersenDepartment of Psychology, The Ohio State University, Columbus.

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Daniel G. Stover · 1985 to 2026
$132.3M
Translational Training Grant in Experimental TherapeuticsK12CA133250 · NCI · OHIO STATE UNIVERSITY · PI WILLIAM E. CARSON, Rosa Lapalombella · 2008 to 2026
$15.0M
NCI NIH HHS K12 CA133250
6 · The paper itself

Abstract

Importance: Elevated allostatic load (AL) has been associated with adverse socioenvironmental stressors and tumor characteristics that convey poor prognosis in patients with breast cancer. Currently, the association between AL and all-cause mortality in patients with breast cancer is unknown. Objective: To examine the association between AL and all-cause mortality in patients with breast cancer. Design, Setting, and Participants: This cohort study used data from an institutional electronic medical record and cancer registry at the National Cancer Institute Comprehensive Cancer Center. Participants were patients with breast cancer diagnoses (stage I-III) between January 1, 2012, through December 31, 2020. Data were analyzed from April 2022 through November 2022. Exposure: AL was expressed as a summary score calculated by assigning 1 point for biomarkers in the worst sample quartile. High AL was defined as AL greater than the median. Main Outcomes and Measures: The main outcome was all-cause mortality. A Cox proportional hazard models with robust variance tested the association between AL and all-cause mortality. Results: There were 4459 patients (median [IQR] age, 59 [49-67] years) with an ethnoracial distribution of 3 Hispanic Black patients (0.1%), 381 non-Hispanic Black patients (8.5%), 23 Hispanic White patients (0.5%), 3861 non-Hispanic White patients (86.6%), 27 Hispanic patients with other race (0.6%), and 164 non-Hispanic patients with other race (3.7%). The mean (SD) AL was 2.6 (1.7). Black patients (adjusted relative ratio [aRR], those with 1.11; 95% CI, 1.04-1.18), single marital status (aRR, 1.06; 95% CI, 1.00-1.12), and those with government-supplied insured (Medicaid aRR, 1.14; 95% CI, 1.07-1.21; Medicare aRR, 1.11; 95% CI, 1.03-1.19) had a higher adjusted mean AL than those who were White, married/living as married, or privately insured, respectively. Adjusting for sociodemographic, clinical, and treatment factors, high AL was associated with a 46% increase in mortality risk (hazard ratio [HR], 1.46; 95% CI, 1.11-1.93) over low AL. Similarly, compared with patients in the first AL quartile, those in the third quartile (HR, 1.53; 95% CI, 1.07-2.18) and the fourth quartile (HR, 1.79; 95% CI, 1.16-2.75) had significantly increased risks of mortality. There was a significant dose-dependent association between increased AL and a higher risk of all-cause mortality. Furthermore, AL remained significantly associated with higher all-cause mortality after adjusting for the Charlson Comorbidity Index. Conclusions and Relevance: These findings suggest increased AL is reflective of socioeconomic marginalization and associated with all-cause mortality in patients with breast cancer.

Indexed as

AllostasisBreast NeoplasmsAgedCohort StudiesFemaleHumansMedicareMiddle AgedUnited StatesWhite

Identifiers

PMID37200034
PMCPMC10196875

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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.