Evidence map›Paper›PMID 29747689›Full record

SynthesisMilitary Medical Research2018

Association between acute mountain sickness (AMS) and age: a meta-analysis.

Yu Wu, Chi Zhang, Yu Chen, Yong-Jun Luo

Open access · diamondAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Military Medical Research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
3.1field-weighted citation impact, top 8% 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

25 citing papers in PubMed, 3 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Efficacy and safety ofFrontiers in pharmacology · 2025
    Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Altitude hypoxia and hypoxemia: pathogenesis and management.Signal transduction and targeted therapy · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Altitude illnesses.Nature reviews. Disease primers · 2024
    Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

4 authors at 1 institution in 1 country.

Yu WuDepartment of Military Medical Geography, Army Medical Service Training Base, Army Medical University, Chongqing, 400038, China.
Chi ZhangDepartment of Military Medical Geography, Army Medical Service Training Base, Army Medical University, Chongqing, 400038, China.
Yu ChenDepartment of Military Medical Geography, Army Medical Service Training Base, Army Medical University, Chongqing, 400038, China.
Yong-Jun LuoDepartment of Military Medical Geography, Army Medical Service Training Base, Army Medical University, Chongqing, 400038, China. ajun-333333@163.com.
Army Medical University · CN

Funding

National Natural Science Foundation of China 81571843National Natural Science Foundation of China No. 41201090
6 · The paper itself

Abstract

backgroundAcute mountain sickness (AMS) is a potentially lethal condition caused by acute hypoxia after ascending to altitudes higher than 2500 m in a short time. The main symptom of AMS is headache. Numerous risk factors of AMS have been examined, including gender, obesity, ascent rate, age and individual susceptibility. In previous studies, age was considered a predisposing factor for AMS. However, different opinions have been raised in recent years. To clarify the association between AMS and age, we conducted this meta-analysis.

methodsWe obtained observational studies that explored risk factors for AMS by searching PubMed, Embase, China National Knowledge Internet (CNKI), the Wanfang database and CQVIP for articles published before March 2017. The studies included were required to provide the mean age and its standard deviation for subjects with and without AMS, the maximum altitude attained and the mode of ascent. The Lake Louse Score (LLS) or the Chinese AMS score (CAS) was used to judge the severity of AMS symptoms and incidence. Studies were pooled for the analysis by using a random effects model in RevMan 5.0. Meta-regression and subgroup analyses were conducted to identify sources of heterogeneity using Stata 14.2 and RevMan 5.0.

resultsIn total, 17 studies were included, and the overall number of subjects with and without AMS was 1810 and 3014, respectively. The age ranged from 10 to 76 years. Analysis of the 17 included studies showed that age was not associated with AMS (mean difference (MD) = 0.10; 95% CI: -0.38-0.58; P = 0.69).

conclusionThis meta-analysis suggests that there is no association between age and the risk of AMS. Race, age, and ascent mode are common sources of heterogeneity, which may provide an analytical orientation for future heterogeneity analyses.

Indexed as

Age FactorsAltitude SicknessHumansIncidenceRisk FactorsAcute mountain sicknessAgeIndividual susceptibilityMeta-analysis

Identifiers

PMID29747689
PMCPMC5946480
OpenAlexW2806457626

What OpenQuestion holds

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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.