Evidence map›Paper›PMID 33783687›Full record

ArticleCancer causes & control : CCC2021

Patterns of overall mortality by race/ethnicity and socioeconomic status in insured cancer patients in Southern California.

Robert M Cooper, Joanie Chung, Tiffany Hogan, Reina Haque

Open access · hybridAbstract read
In one paragraph

Article in Cancer causes & control : CCC, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 10 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

4 authors at 1 institution in 1 country.

Robert M CooperDepartment of Pediatric Oncology, Hematology/Oncology, Kaiser Permanente Los Angeles Medical Center, 4967 Sunset Blvd, Los Angeles, CA, USA.
Joanie ChungDepartment of Research & Evaluation, Kaiser Permanente Southern California, 100 S. Los Robles, Pasadena, CA, USA.
Tiffany HoganDepartment of Pediatric Oncology, Hematology/Oncology, Kaiser Permanente Los Angeles Medical Center, 4967 Sunset Blvd, Los Angeles, CA, USA.
Reina HaqueDepartment of Research & Evaluation, Kaiser Permanente Southern California, 100 S. Los Robles, Pasadena, CA, USA. Reina.Haque@kp.org.ORCID http://orcid.org/0000-0001-8563-3330
Kaiser Permanente · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe evaluated the influence of race/ethnicity and geocoded socioeconomic status (SES) on all-cause mortality in cancer patients with health insurance.

methodsWe identified adults diagnosed with eight common cancers from 2009 to 2014 from the California Cancer Registry and followed them through 2017 (8 years maximum). We calculated person-year mortality rates by race/ethnicity and SES. Adjusted hazard ratios for the association between overall mortality and race/ethnicity and SES were estimated using Cox proportional hazards models accounting for other demographics, stage at diagnosis, and cancer treatments.

resultsA total of 164,197 adults were diagnosed with cancer originating from breast, prostate, lung, colon, skin melanoma, uterus, kidney, and bladder. For all race/ethnic groups combined, the mortality rates from lowest to highest SES groups were 112.1/1000 PY (lowest); 100.2/1000 PY (lower-middle); 91.2/1000 PY (middle); 79.1/1000 PY (upper-middle); and 63.5/1000 PY (upper). These rates suggest that person with lowest SES have a markedly increased mortality risk after cancer diagnosis even if they have health insurance. In multivariable analyses, those in the lowest SES group had a 40-78% increased risk of all-cause mortality compared to those in the upper SES group across all race/ethnicities. For example, within African Americans, the adjusted mortality risk was up to 61% higher (HR 1.61, 95% CI 1.41-1.83) in the lowest SES group compared to the highest SES group.

conclusionThis study suggests disparities in overall mortality risk after cancer diagnoses persist even in a cohort with health insurance, and that SES is an important driver of this disparity.

Indexed as

Insurance, HealthAdultAgedCaliforniaEthnicityFemaleHumansMaleMiddle AgedMultivariate AnalysisNeoplasmsProportional Hazards ModelsRegistriesSocial ClassSocioeconomic FactorsCancer outcomesEthnicityHealth disparityMortalityRaceSocioeconomic status

Identifiers

PMID33783687
PMCPMC8089073
OpenAlexW3147880577

What OpenQuestion holds

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LicenceCC BY
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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.