Evidence map›Paper›PMID 38405905›Full record

ArticleResearch square2024

Allostatic Load as a Predictor of Postoperative Complications in Patients with Breast Cancer.

Samilia Obeng-Gyasi, J C Chen, Mohamed Elsaid, Demond Handley, Lisa Anderson, Barbara Andersen, William Carson, Joal Beane, Alex Kim, Roman Skoracki and 1 more

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Samilia Obeng-GyasiOhio State University.ORCID 0000-0002-5330-7247
J C ChenThe Ohio State University.ORCID 0000-0003-4356-5522
Mohamed ElsaidThe Ohio State University.
Demond HandleyThe Ohio State University.
Lisa AndersonThe Ohio State University.
Barbara AndersenThe Ohio State University.
William CarsonThe Ohio State University.
Joal BeaneThe Ohio State University.
Alex KimThe Ohio State University.
Roman SkorackiThe Ohio State University.
Timothy PawlikThe Ohio State University.
The Ohio State University · US

Funding

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

backgroundAllostatic load (AL) is a biological measure of cumulative exposure to socioenvironmental stressors (e.g., poverty). This study aims to examine the association between allostatic load (AL) and postoperative complications (POC) among patients with breast cancer.

methodsAssigned females at birth ages 18 + with stage I-III breast cancer who received surgical management between 01/01/2012-12/31/2020 were identified in the Ohio State Cancer registry. The composite AL measure included biomarkers from the cardiovascular, metabolic, immune, and renal systems. High AL was defined as composite scores greater than the cohort's median (2.0). POC within 30 days of surgery were examined. Univariable and multivariable regression analysis examined the association between AL and POC.

resultsAmong 4,459 patients, 8.2% had POC. A higher percentage of patients with POC were unpartnered (POC 44.7% vs no POC 35.5%), government-insured (POC 48.2% vs no POC 38.3%) and had multiple comorbidities (POC 32% vs no POC 20%). Patients who developed POC were more likely to have undergone sentinel lymph node biopsy followed by axillary lymph node dissection (POC 51.2% vs no POC 44.6%). High AL was associated with 29% higher odds of POC (aOR 1.29, 95% CI 1.01-1.63). A one-point increase in AL was associated with 8% higher odds of POC (aOR 1.08, 95% CI 1.02-1.16) and a quartile increase in AL was associated with 13% increased odds of POC (aOR 1.13, 95% CI 1.01-1.26).

conclusionAmong patients undergoing breast cancer surgery, increased exposure to adverse socioenvironmental stressors, operationalized as AL, was associated with higher odds of postoperative complications.

Indexed as

Allostatic loadbreast cancerpostoperative complicationssocioenvironmental stressorssurgical treatmentsystemic inequity

Identifiers

PMID38405905
PMCPMC10889069
OpenAlexW4391639958

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.