Evidence map›Paper›PMID 32907570›Full record

ArticleBMC medicine2020

Estimating indirect mortality impacts of armed conflict in civilian populations: panel regression analyses of 193 countries, 1990-2017.

Mohammed Jawad, Thomas Hone, Eszter P Vamos, Paul Roderick, Richard Sullivan, Christopher Millett

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
11.1field-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

36 citing papers in PubMed, 96 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Mohammed JawadPublic Health Policy Evaluation Unit, Imperial College London, 3rd Floor, Reynold's Building, St Dunstan's Road, Hammersmith, London, W6 8RP, UK. mohammed.jawad06@imperial.ac.uk.ORCID 0000-0002-1051-2136
Thomas HonePublic Health Policy Evaluation Unit, Imperial College London, 3rd Floor, Reynold's Building, St Dunstan's Road, Hammersmith, London, W6 8RP, UK.
Eszter P VamosPublic Health Policy Evaluation Unit, Imperial College London, 3rd Floor, Reynold's Building, St Dunstan's Road, Hammersmith, London, W6 8RP, UK.
Paul RoderickPrimary Care and Population Sciences, University of Southampton, Southampton, SO16 6YD, UK.
Richard SullivanInstitute of Cancer Policy, King's College London & Guy's & St Thomas' NHS Trust, London, SE1 9RT, UK.
Christopher MillettPublic Health Policy Evaluation Unit, Imperial College London, 3rd Floor, Reynold's Building, St Dunstan's Road, Hammersmith, London, W6 8RP, UK.
Imperial College London · GBKing's College London · GBUniversity of Southampton · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundArmed conflict can indirectly affect population health through detrimental impacts on political and social institutions and destruction of infrastructure. This study aimed to quantify indirect mortality impacts of armed conflict in civilian populations globally and explore differential effects by armed conflict characteristics and population groups.

methodsWe included 193 countries between 1990 and 2017 and constructed fixed effects panel regression models using data from the Uppsala Conflict Data Program and Global Burden of Disease study. Mortality rates were corrected to exclude battle-related deaths. We assessed separately four different armed conflict variables (capturing binary, continuous, categorical, and quintile exposures) and ran models by cause-specific mortality stratified by age groups and sex. Post-estimation analyses calculated the number of civilian deaths.

resultsWe identified 1118 unique armed conflicts. Armed conflict was associated with increases in civilian mortality-driven by conflicts categorised as wars. Wars were associated with an increase in age-standardised all-cause mortality of 81.5 per 100,000 population (β 81.5, 95% CI 14.3-148.8) in adjusted models contributing 29.4 million civilian deaths (95% CI 22.1-36.6) globally over the study period. Mortality rates from communicable, maternal, neonatal, and nutritional diseases (β 51.3, 95% CI 2.6-99.9); non-communicable diseases (β 22.7, 95% CI 0.2-45.2); and injuries (β 7.6, 95% CI 3.4-11.7) associated with war increased, contributing 21.0 million (95% CI 16.3-25.6), 6.0 million (95% CI 4.1-8.0), and 2.4 million deaths (95% CI 1.7-3.1) respectively. War-associated increases in all-cause and cause-specific mortality were found across all age groups and both genders, but children aged 0-5 years had the largest relative increases in mortality.

conclusionsArmed conflict, particularly war, is associated with a substantial indirect mortality impact among civilians globally with children most severely burdened.

Indexed as

Armed ConflictsFemaleHumansLongitudinal StudiesMaleMortalityRegression AnalysisConflictHealthMortalityWar

Identifiers

PMID32907570
PMCPMC7487992
OpenAlexW3084097543

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LicenceCC BY
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Registered trials

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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.