Evidence map›Paper›PMID 33181710›Full record

ArticleMedicine2020

Prophylaxis of ibuprofen in acute mountain sickness: A protocol for systematic review and meta-analysis.

Hai Yi, Kuiying Wang, Xinyu Gan, Li Li, Qian Zhang, Jiao Xiang, Xiuwei Yuan, Yugang Zhang, Yonghua Wang

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
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

9 authors at 2 institutions in 2 countries.

Hai YiDepartment of Hematology.ORCID 0000-0003-3794-266
Kuiying WangDepartment of Wounded Management.
Xinyu GanDepartment of Transfusion Medicine.
Li LiDepartment of Experimental Medicine.
Qian ZhangDepartment of Hematology.
Jiao XiangDepartment of Infectious Diseases.
Xiuwei YuanOutpatient Department.
Yugang ZhangDepartment of Health Service.
Yonghua WangDepartment of Nursing, the General Hospital of Western Theater Command, PLA, Chengdu, China.
Chengdu Military General Hospital · CNS.P.E.C.I.E.S. · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute mountain sickness (AMS) is the effect when people accessing high altitude in a short period of time. As a cyclooxygenase (COX) inhibitor, ibuprofen could alleviate the symptoms of AMS. However, whether it can prevent AMS or not is still controversial. It is necessary to perform a meta-analysis to evaluate the role of ibuprofen in AMS prophylaxis.

methodsPubMed, EMBASE, Medline, ISI Web of Science, Cochrane Library, China National Knowledge Infrastructure (CNKI) will be searched for the relevant published studies that explored the value of ibuprofen in AMS prophylaxis from inception to October 2020. The data will be independently extracted by 2 researchers. Risk of bias will be evaluated based on Cochrane risk of bias assessment tool. Heterogeneity among the included studies will be evaluated by χ and I values. The meta-analysis was conducted by RevMan software version 5.3.

resultsThis study will evaluate the role of ibuprofen in AMS prophylaxis.

conclusionThis study will summarize the current evidence of ibuprofen in AMS prophylaxis, which could further guide the recommendation in prevention of AMS.Open Science Framework (OSF) registration number: October 8, 2020. osf.io/n3mjt.

Indexed as

Altitude SicknessHumansIbuprofenMeta-Analysis as TopicPre-Exposure ProphylaxisSystematic Reviews as TopicIbuprofen

Identifiers

PMID33181710
PMCPMC7668505
OpenAlexW3106529913

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.