Trial reportPloS one2014
Network analysis reveals distinct clinical syndromes underlying acute mountain sickness.
Trial report in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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
21 citing papers in PubMed, 54 citations in OpenAlex.
- Effect of electro-thumbtack needles on symptoms during high-altitude exposure: a pilot, single-blind, randomized, controlled study.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2026Trial
- The contributions of nocturnal hypoxaemia and sleep disturbances to acute mountain sickness.Experimental physiology · 2026Article
- Improved oxygen saturation and acclimatization with bacteriotherapy at high altitude.iScience · 2025Article
- Safety and efficacy of electro-thumbtack needle for acute mountain sickness patients: a protocol of a randomized, single-blinded, and placebo-controlled study.BMC complementary medicine and therapies · 2024Article
- Article
- Association between high cardiac output at altitude and acute mountain sickness: preliminary study on Mt. Fuji.Journal of physiological anthropology · 2023Article
- Graph Visualization: Alternative Models Inspired by Bioinformatics.Sensors (Basel, Switzerland) · 2023Review
- Graphia: A platform for the graph-based visualisation and analysis of high dimensional data.PLoS computational biology · 2022Article
- Distinct clinical symptom patterns in patients hospitalised with COVID-19 in an analysis of 59,011 patients in the ISARIC-4C study.Scientific reports · 2022Article
- Baseline Psychological Traits Contribute to Lake Louise Acute Mountain Sickness Score at High Altitude.High altitude medicine & biology · 2022Article
- EPAS1 and VEGFA gene variants are related to the symptoms of acute mountain sickness in Chinese Han population: a cross-sectional study.Military Medical Research · 2020Article
- Network analysis of canine brain morphometry links tumour risk to oestrogen deficiency and accelerated brain ageing.Scientific reports · 2019Article
- Isolated psychosis during exposure to very high and extreme altitude - characterisation of a new medical entity.Psychological medicine · 2018Observational
- The 2018 Lake Louise Acute Mountain Sickness Score.High altitude medicine & biology · 2018Article
- Shared activity patterns arising at genetic susceptibility loci reveal underlying genomic and cellular architecture of human disease.PLoS computational biology · 2018Article
- Effects on Cognitive Functioning of Acute, Subacute and Repeated Exposures to High Altitude.Frontiers in physiology · 2018Article
- Thromboelastometry and Platelet Function during Acclimatization to High Altitude.Thrombosis and haemostasis · 2018Article
- Treatable traits and therapeutic targets: Goals for systems biology in infectious disease.Current opinion in systems biology · 2017Review
- Differences Between the "Chinese AMS Score" and the Lake Louise Score in the Diagnosis of Acute Mountain Sickness.Medicine · 2016Article
- Quantifying the "Slosh Stomach": A Novel Tool for Assessment of Exercise-Associated Gastroparesis Symptoms in Endurance Athletes.Journal of sports medicine (Hindawi Publishing Corporation) · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 7 institutions in 1 country.
Funding
Abstract
Acute mountain sickness (AMS) is a common problem among visitors at high altitude, and may progress to life-threatening pulmonary and cerebral oedema in a minority of cases. International consensus defines AMS as a constellation of subjective, non-specific symptoms. Specifically, headache, sleep disturbance, fatigue and dizziness are given equal diagnostic weighting. Different pathophysiological mechanisms are now thought to underlie headache and sleep disturbance during acute exposure to high altitude. Hence, these symptoms may not belong together as a single syndrome. Using a novel visual analogue scale (VAS), we sought to undertake a systematic exploration of the symptomatology of AMS using an unbiased, data-driven approach originally designed for analysis of gene expression. Symptom scores were collected from 292 subjects during 1110 subject-days at altitudes between 3650 m and 5200 m on Apex expeditions to Bolivia and Kilimanjaro. Three distinct patterns of symptoms were consistently identified. Although fatigue is a ubiquitous finding, sleep disturbance and headache are each commonly reported without the other. The commonest pattern of symptoms was sleep disturbance and fatigue, with little or no headache. In subjects reporting severe headache, 40% did not report sleep disturbance. Sleep disturbance correlates poorly with other symptoms of AMS (Mean Spearman correlation 0.25). These results challenge the accepted paradigm that AMS is a single disease process and describe at least two distinct syndromes following acute ascent to high altitude. This approach to analysing symptom patterns has potential utility in other clinical syndromes.
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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.