SynthesisMilitary Medical Research2018
Association between acute mountain sickness (AMS) and age: a meta-analysis.
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.
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.
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.
Who cites it
25 citing papers in PubMed, 3 syntheses or guidelines pooled it, 40 citations in OpenAlex.
- Effects of acute high-altitude exposure on heart rate variability: a systematic review and meta-analysis.Frontiers in physiology · 2025Pooled it
- Efficacy and safety ofFrontiers in pharmacology · 2025Pooled it
- The efficacy and safety of Chinese herbal medicine Shugan Sanjie decoction in the treatment of uterine fibroids: a systematic review and meta-analysis.Frontiers in pharmacology · 2025Pooled it
- Biomarkers and potential subtypes of acute mountain sickness: A state-of-the-science review.Redox biology · 2026Review
- Quality and reliability of health information about altitude sickness on Douyin and Bilibili: a cross-sectional study.BMC public health · 2026Article
- Altitude hypoxia and hypoxemia: pathogenesis and management.Signal transduction and targeted therapy · 2026Review
- Identification of risk factors for heavy clinical burden in electrical workers of highlands: a cross-sectional study.Frontiers in public health · 2026Article
- Impact of menopause on responses to hypoxia and incidence of acute mountain sickness.European journal of applied physiology · 2025Article
- Acute mountain sickness prediction: a concerto of multidimensional phenotypic data and machine learning strategies in the framework of predictive, preventive, and personalized medicine.The EPMA journal · 2025Article
- Inulin promotes appetite in mice by regulating the gut microbiota under conditions of rapid entry to the plateau.PloS one · 2025Article
- Altitude illnesses.Nature reviews. Disease primers · 2024Review
- Article
- Recent advances in predicting acute mountain sickness: from multidimensional cohort studies to cutting-edge model applications.Frontiers in physiology · 2024Review
- Association between high cardiac output at altitude and acute mountain sickness: preliminary study on Mt. Fuji.Journal of physiological anthropology · 2023Article
- Universal Training Precautions: A Review of Evidence and Recommendations for Prevention of Exercise-Related Injury, Illness, and Death in Warfighters and Athletes.Journal of athletic training · 2023Review
- Potential plasma biomarkers at low altitude for prediction of acute mountain sickness.Frontiers in immunology · 2023Article
- Using machine learning to determine the correlation between physiological and environmental parameters and the induction of acute mountain sickness.BMC bioinformatics · 2022Article
- Physiological Responses at Rest and Exercise to High Altitude in Lowland Children and Adolescents.Life (Basel, Switzerland) · 2021Article
- Age-related differences in hypoxia-associated genes and cytokine profile in male Wistar rats.Heliyon · 2021Article
- Altitude Cardiomyopathy Is Associated With Impaired Stress Electrocardiogram and Increased Circulating Inflammation Makers.Frontiers in physiology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
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.
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Registered trials
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.