Evidence map›Paper›PMID 37707536›Full record

ArticleJNCI cancer spectrum2023

Socioeconomic status and inequities in treatment initiation and survival among patients with cancer, 2011-2022.

Jenny S Guadamuz, Xiaoliang Wang, Cleo A Ryals, Rebecca A Miksad, Jeremy Snider, James Walters, Gregory S Calip

Abstract read
In one paragraph

Article in JNCI cancer spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

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

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  5. Single-cell and spatial transcriptomics reveal mTOR-driven cellular fate of spindle cells and immune evasion in classic Kaposi's sarcoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Jenny S GuadamuzFlatiron Health, New York, NY, USA.ORCID 0000-0002-2312-4140
Xiaoliang WangFlatiron Health, New York, NY, USA.
Cleo A RyalsFlatiron Health, New York, NY, USA.
Rebecca A MiksadFlatiron Health, New York, NY, USA.
Jeremy SniderFlatiron Health, New York, NY, USA.
James WaltersFlatiron Health, New York, NY, USA.
Gregory S CalipFlatiron Health, New York, NY, USA.ORCID 0000-0002-7744-3518

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLower neighborhood socioeconomic status (SES) is associated with suboptimal cancer care and reduced survival. Most studies examining cancer inequities across area-level socioeconomic status tend to use less granular or unidimensional measures and pre-date the COVID-19 pandemic. Here, we examined the association of area-level socioeconomic status on real-world treatment initiation and overall survival among adults with 20 common cancers.

methodsThis retrospective cohort study used electronic health record-derived deidentified data (Flatiron Health Research Database, 2011-2022) linked to US Census Bureau data from the American Community Survey (2015-2019). Area-level socioeconomic status quintiles (based on a measure incorporating income, home values, rental costs, poverty, blue-collar employment, unemployment, and education information) were computed from the US population and applied to patients based on their mailing address. Associations were examined using Cox proportional hazards models adjusted for diagnosis year, age, sex, performance status, stage, and cancer type.

resultsThis cohort included 291 419 patients (47.7% female; median age = 68 years). Patients from low-SES areas were younger and more likely to be Black (21.9% vs 3.3%) or Latinx (8.4% vs 3.0%) than those in high-SES areas. Living in low-SES areas (vs high) was associated with lower treatment rates (hazard ratio = 0.94 [95% confidence interval = 0.93 to 0.95]) and reduced survival (median real-world overall survival = 21.4 vs 29.5 months, hazard ratio = 1.20 [95% confidence interval = 1.18 to 1.22]). Treatment and survival inequities were observed in 9 and 19 cancer types, respectively. Area-level socioeconomic inequities in treatment and survival remained statistically significant in the COVID-19 era (after March 2020).

conclusionTo reduce inequities in cancer outcomes, efforts that target marginalized, low-socioeconomic status neighborhoods are necessary.

Indexed as

COVID-19NeoplasmsAdultAgedFemaleHumansMalePandemicsRetrospective StudiesSocial ClassSocioeconomic Factors

Identifiers

PMID37707536
PMCPMC10582690

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.