Evidence map›Paper›PMID 36374497›Full record

ArticleJAMA network open2022

Association Between Primary Care Use Prior to Cancer Diagnosis and Subsequent Cancer Mortality in the Veterans Affairs Health System.

Edmund M Qiao, Kripa Guram, Nikhil V Kotha, Rohith S Voora, Alexander S Qian, Grace S Ahn, Sandhya Kalavacherla, Ramona Pindus, Matthew P Banegas, Tyler F Stewart and 3 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.0field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

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  12. Revisiting Alma Ata: A Blueprint for Cancer Care.Cancer control : journal of the Moffitt Cancer Center
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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

13 authors at 2 institutions in 1 country.

Edmund M QiaoVA San Diego Health Care System, La Jolla, California.
Kripa GuramVA San Diego Health Care System, La Jolla, California.
Nikhil V KothaVA San Diego Health Care System, La Jolla, California.
Rohith S VooraVA San Diego Health Care System, La Jolla, California.
Alexander S QianDepartment of Radiation Medicine and Applied Sciences, University of California, San Diego, La Jolla.
Grace S AhnDepartment of Radiation Medicine and Applied Sciences, University of California, San Diego, La Jolla.
Sandhya KalavacherlaDepartment of Radiation Medicine and Applied Sciences, University of California, San Diego, La Jolla.
Ramona PindusDepartment of Radiation Medicine and Applied Sciences, University of California, San Diego, La Jolla.
Matthew P BanegasDepartment of Radiation Medicine and Applied Sciences, University of California, San Diego, La Jolla.
Tyler F StewartDivision of Hematology-Oncology, Department of Internal Medicine, University of California, San Diego, La Jolla.
Michelle L JohnsonDepartment of Family Medicine and Public Health, University of California, San Diego, La Jolla.
James D MurphyVA San Diego Health Care System, La Jolla, California.
Brent S RoseVA San Diego Health Care System, La Jolla, California.
University of California, San Diego · USUC San Diego Health System · US

Funding

VIRAL MALIGNANCYP30CA023100 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DIANE M SIMEONE · 1985 to 2026
$124.9M
NCI NIH HHS P30 CA023100
6 · The paper itself

Abstract

Importance: Primary care physicians (PCPs) are significant contributors of early cancer detection, yet few studies have investigated whether consistent primary care translates to improved downstream outcomes. Objective: To evaluate the association of prediagnostic primary care use with metastatic disease at diagnosis and cancer-specific mortality (CSM). Design, Setting, and Participants: This cohort study used databases with primary care and referral linkage from multiple Veterans' Affairs centers from 2004 to 2017 and had a 68-month median follow-up. Analysis was completed between July 2021 and September 2022. Participants included veterans older than 39 years who had been diagnosed with 1 of 12 cancers. Inclusion criteria included known clinical staging, survival follow-up, cause of death, and receiving care at the Veterans Affairs health system (VA). Exposures: Prediagnostic PCP use, measured in the 5 years prior to diagnosis. PCP visits were binned into none (0 visits), some (1-4 visits), and annual (5 visits). Main Outcomes and Measures: Metastatic disease at diagnosis, cancer-specific mortality (CSM) for entire cohort and stratified by tumor subtype. Results: Among 245 425 patients representing 12 tumor subtypes, mean age was 65.8 (9.3) years, and the cohort skewed male (97.6%), and White (76.1%), with higher levels of comorbidity (58.6% with Charlson Comorbidity Index scores ≥2). Compared with no prior visit, some PCP use was associated with 26% decreased odds of metastatic disease at diagnosis (odds ratio [OR], 0.74; 95% CI, 0.71-0.76; P < .001) and 12% reduced risk of CSM (subdistribution hazard ratio [SHR], 0.88; 95% CI, 0.86-0.89; P < .001). Annual PCP use was associated with 39% decreased odds of metastatic disease (OR, 0.61; 95% CI, 0.59-0.63; P < .001) and 21% reduced risk of CSM (SHR, 0.79; 95% CI, 0.77-0.81; P < .001). Among tumor subtypes, prostate cancer had the largest effect size for prior PCP use on metastatic disease at diagnosis (OR for annual use, 0.32; 95% CI, 0.30-0.35; P < .001) and CSM (SHRfor annual use, 0.51; 95% CI, 0.48-0.55; P < .001). Conclusions and Relevance: In this cohort study, increased primary care use before cancer diagnosis was associated with significant decreases in metastatic disease at diagnosis and cancer-related death, with potentially the greatest difference from annual use. PCPs play a vital role in cancer prevention, and additional resources should be allocated to assist these physicians.

Indexed as

NeoplasmsVeteransAgedCohort StudiesEarly Detection of CancerHumansMalePrimary Health CareUnited StatesUnited States Department of Veterans Affairs

Identifiers

PMID36374497
PMCPMC9664263
OpenAlexW4308976413

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.