Evidence map›Paper›PMID 31642489›Full record

ArticleMilitary medicine2020

Amyotrophic Lateral Sclerosis Among Veterans Deployed in Support of Post-9/11 U.S. Conflicts.

Hari Krishna Raju Sagiraju, Sasa Živković, Anne C VanCott, Huned Patwa, David Gimeno Ruiz de Porras, Megan E Amuan, Mary Jo V Pugh

Open access · hybridAbstract read
In one paragraph

Article in Military medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 20% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Prevalence and impact of comorbidities in amyotrophic lateral sclerosis.Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Review
  3. Environmental toxins in neurodegeneration - a narrative review.Neurological research and practice · 2025
    Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. A roadmap to ALS prevention: strategies and priorities.Journal of neurology, neurosurgery, and psychiatry · 2023
    Article
  9. Review
  10. Review
  11. Review
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 5 institutions in 1 country.

Hari Krishna Raju SagirajuInformatics, Decision-Enhancement and Analytic Sciences Center, VA Salt Lake City Health Care System, 500 Foothill Drive Bldg. 182, Salt Lake City, UT 84148.
Sasa ŽivkovićDepartment of Neurology, University of Pittsburgh, 3471 Fifth Avenue, Pittsburgh, PA 15213.
Anne C VanCottDepartment of Neurology, University of Pittsburgh, 3471 Fifth Avenue, Pittsburgh, PA 15213.
Huned PatwaVA Neurology Service, VA Connecticut Health Care System, 950 Campbell Avenue, West Haven, CT 06516.
David Gimeno Ruiz de PorrasDepartment of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston, School of Public Health in San Antonio, 7411 John Smith Dr #1100, San Antonio, TX 78229.
Megan E AmuanInformatics, Decision-Enhancement and Analytic Sciences Center, VA Salt Lake City Health Care System, 500 Foothill Drive Bldg. 182, Salt Lake City, UT 84148.
Mary Jo V PughInformatics, Decision-Enhancement and Analytic Sciences Center, VA Salt Lake City Health Care System, 500 Foothill Drive Bldg. 182, Salt Lake City, UT 84148.
University of Pittsburgh · USUniversity of Utah · USThe University of Texas Health Science Center at San Antonio · USVA Connecticut Healthcare System · USVA Salt Lake City Healthcare System · US

Funding

CSRD VA I01 CX001246NIOSH CDC HHS T42 OH008421
6 · The paper itself

Abstract

introductionAmyotrophic lateral sclerosis (ALS) is a recognized military service-connected condition. Prior prevalence studies of ALS among U.S. war Veterans were not able to address concerns related to neurodegenerative sequelae of traumatic brain injury (TBI) and disregarded risk heterogeneity from occupational categories within service branches. MATERIALS AND

methodsWe identified the prevalence of definite and possible ALS and cumulative incidence of definite ALS among Post-9/11 U.S. Veterans deployed in support of Post-9/11 conflicts (mean age 36.3) who received care in the Veterans Health Administration during fiscal years 2002-2015. Using a case-control study design, we also evaluated the association of TBI and major military occupation groups with ALS adjusting for demographics and comorbidities.

resultsThe prevalence of ALS was 19.7 per 100,000 over 14 years. Both prevalence and cumulative incidence of definite ALS were significantly higher among Air Force personnel compared to other service branches and among tactical operation officers and health care workers compared to general and administrative officers. Neither TBI nor younger age (<45 years) was associated with ALS. Depression, cardiac disease, cerebrovascular disease, high blood pressure, and obstructive sleep apnea were clinical comorbidities significantly associated with ALS in this population of Veterans.

conclusionThis study among a cohort of relatively young Veterans showed a high ALS prevalence, suggesting an early onset of ALS among deployed military service members. The higher prevalence among some military specific occupations highlights the need to determine which occupational exposures specific to these occupations (particularly, Air Force personnel, tactical operations officers, and health care workers) might be associated with early onset ALS.

Indexed as

Amyotrophic Lateral SclerosisMilitary PersonnelVeteransAdultCase-Control StudiesHumansIncidenceMiddle AgedUnited States

Identifiers

PMID31642489
PMCPMC8921606
OpenAlexW2981790905

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.