Evidence map›Paper›PMID 39323005›Full record

SynthesisExperimental physiology2024

Pulse oximetry for the prediction of acute mountain sickness: A systematic review.

Johnathan S L Goves, Kelsey E Joyce, Sophie Broughton, Julian Greig, Kimberly Ashdown, Arthur R Bradwell, Samuel J E Lucas

Abstract readSystematic Review
In one paragraph

Synthesis in Experimental physiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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

7 authors.

Johnathan S L GovesAnaesthesia & Intensive Care Medicine, Royal Blackburn Teaching Hospital, NHS Trust, Haslingden Road, Blackburn, UK.
Kelsey E JoyceSchool of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Edgbaston, Birmingham, UK.ORCID https://orcid.org/0000-0002-3189-847X
Sophie BroughtonMedical School, University of Birmingham, Birmingham, UK.
Julian GreigMedical School, University of Birmingham, Birmingham, UK.ORCID https://orcid.org/0000-0003-0574-5063
Kimberly AshdownBirmingham Medical Research Expeditionary Society, University of Birmingham, Birmingham, UK.
Arthur R BradwellBirmingham Medical Research Expeditionary Society, University of Birmingham, Birmingham, UK.
Samuel J E LucasSchool of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Edgbaston, Birmingham, UK.ORCID https://orcid.org/0000-0002-8713-2457

Funding

JABBS Foundation 1128402
6 · The paper itself

Abstract

Acute mountain sickness (AMS) causes serious illness for many individuals ascending to high altitude (HA), although preventable with appropriate acclimatisation. AMS is a clinical diagnosis, with symptom severity evaluated using the Lake Louise Score (LLS). Reliable methods of predicting which individuals will develop AMS have not been developed. This systematic review evaluates whether a predictive relationship exists between oxygen saturation and subsequent development of AMS. PubMed, PubMed Central, MEDLINE, Semantic Scholar, Cochrane Library, University of Birmingham Library and clinicaltrials.gov databases were systematically searched from inception to 15 June 2023. Human studies involving collection of peripheral blood oxygen saturation (

Indexed as

Altitude SicknessOximetryAcute DiseaseAltitudeHumansOxygenOxygen SaturationOxygenacute mountain sicknesshigh‐altitudepulse oximetry

Identifiers

PMID39323005
PMCPMC11607621

What OpenQuestion holds

Textmetadata
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.