Evidence map›Paper›PMID 36880966›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2023

Risk and Protective Factors for Cancer Mortality among United States Service Members and Veterans (2001-2018).

Neika Sharifian, Felicia R Carey, Julia S Seay, Sheila F Castañeda, Edward J Boyko, Rudolph P Rull, Millennium Cohort Study Team

Open access · hybridAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2023. 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
9.3field-weighted citation impact, top 2% 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, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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

7 authors at 3 institutions in 2 countries.

Neika SharifianDeployment Health Research Department, Naval Health Research Center, San Diego, California.ORCID 0000-0003-3985-8963
Felicia R CareyDeployment Health Research Department, Naval Health Research Center, San Diego, California.ORCID 0000-0003-3655-5246
Julia S SeayDeployment Health Research Department, Naval Health Research Center, San Diego, California.ORCID 0000-0003-1312-3475
Sheila F CastañedaDeployment Health Research Department, Naval Health Research Center, San Diego, California.ORCID 0000-0002-1975-0544
Edward J BoykoVA Puget Sound Health Care System, Seattle, Washington.ORCID 0000-0002-3695-192X
Rudolph P RullDeployment Health Research Department, Naval Health Research Center, San Diego, California.ORCID 0000-0003-0989-3629
Millennium Cohort Study Team
Naval Health Research Center · USUnited Nations Industrial Development Organization · ATVA Puget Sound Health Care System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrior research linking military factors with cancer-specific mortality has shown inconsistent findings, with few studies examining these associations among U.S. service members and veterans who served in Operation Iraqi Freedom/Operation Enduring Freedom conflicts.

methodsCancer mortality between 2001 and 2018 was ascertained from the Department of Defense Medical Mortality Registry and National Death Index for 194,689 Millennium Cohort Study participants. Cause-specific Cox proportional hazard models were used to examine links between military characteristics and cancer mortality [overall, early (<45 years), and lung].

resultsCompared with individuals who deployed with no combat experiences, non-deployers had a greater risk of overall [HR = 1.34; 95% confidence interval (CI) = 1.01-1.77] and early cancer mortality (HR = 1.80; 95% CI = 1.06-3.04). Enlisted individuals had a greater risk of lung cancer mortality compared with officers (HR = 2.65; 95% CI = 1.27-5.53). No associations by service component, branch, or military occupation and cancer mortality were observed. Higher education was associated with reduced overall, early and lung cancer mortality risk and smoking and life stressors were associated with elevated overall and lung cancer mortality risk.

conclusionsThese findings are consistent with the healthy deployer effect in which military personnel who were deployed tend to be healthier than those who did not deploy. Further, these findings highlight the importance of considering socioeconomic factors, such as military rank, that may have long-term implications for health. IMPACT: These findings highlight military occupational factors that may predict long-term health outcomes. Additional work is necessary to investigate more nuanced environmental and occupational military exposures and cancer mortality.

Indexed as

Military PersonnelNeoplasmsVeteransCohort StudiesHumansLung NeoplasmsMilitary HealthProtective FactorsRisk FactorsUnited States

Identifiers

PMID36880966
PMCPMC10150238
OpenAlexW4323347850

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.