Evidence map›Paper›PMID 37504973›Full record

ReviewHigh altitude medicine & biology2023

Promising Natural Medicines for the Treatment of High-Altitude Illness.

Li Li, Lin Lin, Bo Wen, Peng-Cheng Zhao, Da-Sheng Liu, Guo-Ming Pang, Zi-Rong Wang, Yong Tan, Cheng Lu

Open access · hybridAbstract readReview
In one paragraph

Review in High altitude medicine & biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Efficacy and safety ofFrontiers in pharmacology · 2025
    Pooled it
  2. Review
  3. Acclimatization Effects ofInternational journal of molecular sciences · 2026
    Article
  4. Article
  5. 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 4 institutions in 1 country.

Li LiInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Lin LinInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Bo WenInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Peng-Cheng ZhaoSchool of Life Science, Northwestern Polytechnical University, Xi'an, China.
Da-Sheng LiuInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Guo-Ming PangKaifeng Traditional Chinese Medicine Hospital, Kaifeng, China.
Zi-Rong WangLogistics Support Division, National Immigration Administration, Beijing, China.
Yong TanInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Cheng LuInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.ORCID 0000-0002-6474-9198
Chinese Academy of Medical Sciences & Peking Union Medical College · CNChina National Space Administration · CNKaifeng University · CNNorthwestern Polytechnical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Li Li, Lin Lin, Bo Wen, Peng-cheng Zhao, Da-sheng Liu, Guo-ming Pang, Zi-rong Wang, Yong Tan, and Cheng Lu. Promising natural medicines for the treatment of high-altitude illness.

Indexed as

Altitude SicknessBrain EdemaAcetazolamideAcute DiseaseAltitudeHumansHypertension, PulmonaryAcetazolamidehigh-altitude illnessnatural medicinespharmacological effectstoxicity

Identifiers

PMID37504973
PMCPMC10516238
OpenAlexW4385330965

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.