Evidence map›Paper›PMID 41726137›Full record

ArticleOpen medicine (Warsaw, Poland)2026

Establishing reference intervals for 25 common biochemical analytes in Tibetans living at very high altitude.

Bai Ci, Yangzong Suona, Zhuoga Danzeng, Zhijuan Liu, Ju Huang, Rui Zhang, Shensong Li, Zhuoma Ciren, Chunyan Yuan, Luobu Gesang

Abstract read
In one paragraph

Article in Open medicine (Warsaw, Poland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Bai CiHigh Altitude Medical Research Institute, Tibet Autonomous Region People's Hospital, Key Laboratory of Translational Medicine for Human Adaptation to the High-altitu, Lhasa, China.
Yangzong SuonaHigh Altitude Medical Research Institute, Tibet Autonomous Region People's Hospital, Lhasa, China.ORCID https://orcid.org/0009-0003-7570-4635
Zhuoga DanzengHigh Altitude Medical Research Institute, Tibet Autonomous Region People's Hospital, Lhasa, China.ORCID https://orcid.org/0000-0002-8798-617X
Zhijuan LiuDepartment of Clinical Laboratory Medicine, Tibet Autonomous Region People's Hospital, Lhasa, China.
Ju HuangHigh Altitude Medical Research Institute, Tibet Autonomous Region People's Hospital, Lhasa, China.ORCID https://orcid.org/0000-0003-3319-5724
Rui ZhangHigh Altitude Medical Research Institute, Tibet Autonomous Region People's Hospital, Lhasa, China.
Shensong LiDepartment of Clinical Laboratory Medicine, Tibet Autonomous Region People's Hospital, Lhasa, China.
Zhuoma CirenDepartment of Mountain Sickness and Cardiology, Tibet Autonomous Region People's Hospital, Lhasa, China.
Chunyan YuanDepartment of Pediatrics, Tibet Autonomous Region People's Hospital, Lhasa, China.
Luobu GesangHigh Altitude Medical Research Institute, Tibet Autonomous Region People's Hospital, Lhasa, China.ORCID https://orcid.org/0009-0005-5574-1492

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: High altitude poses extreme living environment for humans, impacting human physiology and leading to physiological adaptations, including higher hemoglobin levels in highlanders. However, further understanding is required regarding the medical reference ranges at very high altitudes (>4,500 m). Therefore, we conducted a study involving 1,656 healthy individuals from the "Health Improvement at Very High Altitude (HI-VHA)" population to establish a reference range for 25 biochemical analyses in this population residing at very high altitudes. Methods: The HI-VHA project sampled 3,564 individuals from Tibet Autonomous Region above 4,500 m. After strict exclusion criteria, 1,656 healthy individuals were included to establish age and sex stratified reference intervals (RIs) for 25 biochemical analytes using serum samples. Results: RIs were generated following the statistical guidelines outlined in CLSI C28-A3. Among the 25 biochemical analytes studied, the levels of ALT, GLB, CREA, UA, HDLC, and HCY showed significant variations by gender, while ALB, AG, CHOL, and DBIL were influenced by age. LDLC was the only analyte affected by both gender and age. AST, TP, TBIL, IBIL, Glu, TG, LDLC, CRP, K, Na, Cl, Ca, Mg, and P, comprising 14 analytes, were not influenced by gender or age. Conclusions: We established the RIs for 25 biochemical analytes in the very high-altitude population. These RIs are crucial for disease diagnosis and health management of individuals living at very high altitudes. Moreover, an accurate identification of diseases commonly observed at very high altitudes provides insights into the biological adaptation mechanisms of humans residing in such environments.

Indexed as

biochemicalshigh altitude medicinereference intervalsvery high altitude

Identifiers

PMID41726137
PMCPMC12917553

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.