Evidence map›Paper›PMID 29192307›Full record

ArticleJAMA oncology2018

Trends in Cancer Survival by Health Insurance Status in California From 1997 to 2014.

Libby Ellis, Alison J Canchola, David Spiegel, Uri Ladabaum, Robert Haile, Scarlett Lin Gomez

Open access · bronzeAbstract readHistorical Article
In one paragraph

Article in JAMA oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 3 pooled it
8.8field-weighted citation impact, top 1% 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

88 citing papers in PubMed, 3 syntheses or guidelines pooled it, 164 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
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  19. Sociodemographic and Socioeconomic Factors Correlate with Late-Stage Pediatric Hodgkin Lymphoma and Rhabdomyosarcoma: A Report from the Children's Oncology Group Registries.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  20. Article

28 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Libby EllisCancer Prevention Institute of California, Fremont.
Alison J CancholaCancer Prevention Institute of California, Fremont.
David SpiegelStanford Cancer Institute, Stanford, California.
Uri LadabaumStanford Cancer Institute, Stanford, California.
Robert HaileCedars-Sinai Medical Center, Los Angeles, California.
Scarlett Lin GomezCancer Prevention Institute of California, Fremont.
Cancer Prevention Institute of California · USCedars-Sinai Medical Center · USStanford Cancer Institute

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importanceThere have been substantial improvements in the early detection, treatment, and survival from cancer in the United States, but it is not clear to what extent patients with different types of health insurance have benefitted from these advancements.

objectiveTo examine trends in cancer survival by health insurance status from January 1997 to December 2014. DESIGN, SETTING, AND

participantsCalifornia Cancer Registry (a statewide cancer surveillance system) data were used to estimate population-based survival by health insurance status in 3 calendar periods: January 1997 to December 2002, January 2003 to December 2008, and January 2009 to December 2014 with follow-up through 2014. Overall, 1 149 891 patients diagnosed with breast, prostate, colorectal, or lung cancer, or melanoma in California were included in the study. MAIN OUTCOMES AND MEASURES: Five-year all-cause and cancer-specific survival probabilities by insurance category and calendar period for each cancer site and sex; hazard ratios (HRs) and 95% CIs for each insurance category (none, Medicare, other public) compared with private insurance in each calendar period.

resultsAccording to data from 1 149 891 patients diagnosed with breast, prostate, colorectal, or lung cancer, or melanoma gathered from the California Cancer Registry, improvements in survival were almost exclusively limited to patients with private or Medicare insurance. For patients with other public or no insurance, survival was largely unchanged or declined. Relative to privately insured patients, cancer-specific mortality was higher in uninsured patients for all cancers except prostate, and disparities were largest from 2009 to 2014 for breast (HR, 1.72; 95% CI, 1.45-2.03), lung (men: HR, 1.18; 95% CI, 1.06-1.31 and women: HR, 1.32; 95% CI, 1.15-1.50), and colorectal cancer (women: HR, 1.30; 95% CI, 1.05-1.62). Mortality was also higher for patients with other public insurance for all cancers except lung, and disparities were largest from 2009 to 2014 for breast (HR, 1.25; 95% CI, 1.17-1.34), prostate (HR, 1.17; 95% CI, 1.04-1.31), and colorectal cancer (men: HR, 1.16; 95% CI, 1.08-1.23 and women: HR, 1.11; 95% CI, 1.03-1.20). CONCLUSIONS AND RELEVANCE: After accounting for patient and clinical characteristics, survival disparities for men with prostate cancer and women with lung or colorectal cancer increased significantly over time, reflecting a lack of improvement in survival for patients with other public or no insurance. To mitigate these growing disparities, all patients with cancer need access to health insurance that covers all the necessary elements of health care, from prevention and early detection to timely treatment according to clinical guidelines.

Indexed as

CaliforniaCause of DeathFemaleFollow-Up StudiesHistory, 20th CenturyHistory, 21st CenturyHumansInsurance CoverageInsurance, HealthMaleMedicaidMedically UninsuredMedicareMortalityNeoplasmsPopulation Surveillance

Identifiers

PMID29192307
PMCPMC5885831
OpenAlexW2775326836

What OpenQuestion holds

Textmetadata
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.