Evidence map›Paper›PMID 38847619›Full record

ArticleMSMR2024

U.S. Army mortality surveillance in active duty soldiers, 2014-2019.

Gabrielle F Kaplansky, Maisha Toussaint

Abstract read
In one paragraph

Article in MSMR, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. MDMA for PTSD and beyond: a new paradigm brings hope.Frontiers in human neuroscience · 2024
    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

2 authors.

Gabrielle F KaplanskyDivision of Behavioral and Social Health Outcomes Practice, Defense Centers for Public Health-Aberdeen, Defense Health Agency, Aberdeen Proving Ground, MD.
Maisha ToussaintDivision of Behavioral and Social Health Outcomes Practice, Defense Centers for Public Health-Aberdeen, Defense Health Agency, Aberdeen Proving Ground, MD.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mortality surveillance is an important activity for capturing information on a population's health. This retrospective surveillance analysis utilizes administrative data sources to describe active duty U.S. Army soldiers who died from 2014 to 2019, and calculate mortality rates, assess trends by category of death, and identify leading causes of death within subpopulations. During the surveillance period, 2,530 soldier deaths were reported. The highest crude mortality rates observed during the 6-year surveillance period were for deaths by suicide, followed by accidental (i.e., unintentional injury) deaths. The crude mortality rates for natural deaths decreased significantly over the 6-year period, by an average of 6% annually. The leading causes of death were suicide by gunshot wound, motor vehicle accidents, suicide by hanging, neoplasms, and cardiovascular events. Significant differences were observed in the leading causes of death in relation to demographic characteristics, which has important implications for the development of focused educational campaigns to improve health behaviors and safe driving habits. Current public health programs to prevent suicide should be evaluated, with new approaches for firearm safety considered.

Indexed as

Cause of DeathMilitary PersonnelPopulation SurveillanceSuicideAccidents, TrafficAdolescentAdultFemaleHumansMaleMiddle AgedMortalityRetrospective StudiesUnited StatesWounds, GunshotYoung Adultaccidental deathArmed ForcesArmycause of deathdeathmortalitypreventable deathpublic healthsoldiersuicidesuveillanceUnited States

Identifiers

PMID38847619
PMCPMC11189822

What OpenQuestion holds

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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.