Evidence map›Paper›PMID 33387965›Full record

ArticleSocial science & medicine (1982)2021

Association between preexisting mental illnesses and mortality among medicaid-insured women diagnosed with breast cancer.

Wayne R Lawrence, Margaret Gates Kuliszewski, Akiko S Hosler, Matthew C Leinung, Xiuling Zhang, Wangjian Zhang, Zhicheng Du, Maria J Schymura, Francis P Boscoe

Open access · greenAbstract read
In one paragraph

Article in Social science & medicine (1982), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
5.8field-weighted citation impact, top 4% of its field
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

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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

9 authors at 4 institutions in 1 country.

Wayne R LawrenceDepartment of Epidemiology and Biostatistics, School of Public Health, State University of New York at Albany, One University Place, Rensselaer, NY, United States. Electronic address: wayne.lawrence@nih.gov.
Margaret Gates KuliszewskiDepartment of Epidemiology and Biostatistics, School of Public Health, State University of New York at Albany, One University Place, Rensselaer, NY, United States; Bureau of Cancer Epidemiology, New York State Department of Health, 150 Broadway, Ste 361, Albany, NY, United States. Electronic address: Maggie.GatesKuliszewski@health.ny.gov.
Akiko S HoslerDepartment of Epidemiology and Biostatistics, School of Public Health, State University of New York at Albany, One University Place, Rensselaer, NY, United States. Electronic address: ahosler@albany.edu.
Matthew C LeinungDivision of Endocrinology and Metabolism, Department of Medicine, Albany Medical College, 25 Hackett Boulevard MC-141, Albany, NY, United States. Electronic address: LeinunM@amc.edu.
Xiuling ZhangBureau of Cancer Epidemiology, New York State Department of Health, 150 Broadway, Ste 361, Albany, NY, United States. Electronic address: xiuling.zhang@health.ny.gov.
Wangjian ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, State University of New York at Albany, One University Place, Rensselaer, NY, United States. Electronic address: wzhang27@albany.edu.
Zhicheng DuDepartment of Epidemiology and Biostatistics, School of Public Health, State University of New York at Albany, One University Place, Rensselaer, NY, United States. Electronic address: duzhch5@mail.sysu.edu.cn.
Maria J SchymuraDepartment of Epidemiology and Biostatistics, School of Public Health, State University of New York at Albany, One University Place, Rensselaer, NY, United States; Bureau of Cancer Epidemiology, New York State Department of Health, 150 Broadway, Ste 361, Albany, NY, United States. Electronic address: maria.schymura@health.ny.gov.
Francis P BoscoeDepartment of Epidemiology and Biostatistics, School of Public Health, State University of New York at Albany, One University Place, Rensselaer, NY, United States. Electronic address: fboscoe@albany.edu.
University at Albany, State University of New York · USNew York State Department of Health · USAlbany Medical Center Hospital · USAlbany State University · US

Funding

NCCDPHP CDC HHS U58 DP003879
6 · The paper itself

Abstract

backgroundWe investigated the impact of preexisting mental illnesses on all-cause and cause-specific mortality among Medicaid-insured women diagnosed with breast cancer.

methodsData from the New York State Cancer Registry for 10,444 women diagnosed with breast cancer from 2004 to 2016 and aged <65 years at diagnosis were linked with Medicaid claims. Women were categorized as having depression or a severe mental illness (SMI) if they had at least three relevant diagnosis claims with at least one claim within three years prior to breast cancer diagnosis. SMI included schizophrenia, bipolar disorder, and other psychotic disorders. Estimated menopausal status was determined by age (premenopausal age <50; postmenopausal age ≥50). Hazard ratios (HR) and 95% confidence intervals (95%CI) were calculated with Cox proportional hazards regression, adjusting for potential confounders.

resultsPreexisting SMI was associated with greater all-cause (HR = 1.36; 95%CI 1.18, 1.57) and cancer-specific (HR = 1.21; 95%CI 1.03, 1.44) mortality compared to those with no mental illnesses. No association was observed between preexisting depression and mortality. Among racial/ethnic subgroups, the association between SMI and all-cause mortality was observed among non-Hispanic white (HR = 1.47; 95%CI 1.19, 1.83) and non-Hispanic Asian/Pacific Islander (HR = 2.59; 95% 1.15, 5.87) women. Additionally, mortality hazards were greatest among women with preexisting SMI that were postmenopausal (HR = 1.49; 95%CI 1.25, 1.78), obese (HR = 1.58; 95%CI 1.26, 1.98), and had documented tobacco use (HR = 1.42; 95%CI 1.13, 1.78).

conclusionWomen with preexisting SMI prior to breast cancer diagnosis have an elevated mortality hazard and should be monitored and treated by a coordinated cross-functional clinical team.

Indexed as

Breast NeoplasmsMental DisordersAgedFemaleHumansMedicaidNew YorkProportional Hazards ModelsRacial GroupsUnited StatesBipolar disorderBreast cancerCancer registryCardiovascularDepressionMedicaidMental illnessSchizophrenia

Identifiers

PMID33387965
PMCPMC9989878
OpenAlexW3114113181

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.