Evidence map›Paper›PMID 41634838›Full record

ArticleJournal of physiological anthropology2026

Differences in prevalence arising from reference values for physiological and laboratory measurements used in studies of Tibetan highlanders and differences in study populations between the two studies.

Hiroaki Arima, Sweta Koirala, Takayuki Nishimura

Abstract readLetter
In one paragraph

Article in Journal of physiological anthropology, 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

3 authors.

Hiroaki ArimaDepartment of International Health and Medical Anthropology, Institute of Tropical Medicine, Nagasaki University, 1-12-4 Sakamoto, Nagasaki, 852-8523, Japan.
Sweta KoiralaNepal Development Society, Ward 29, Naubise, Kaski District, Pokhara Metropolitan City, Nepal.
Takayuki NishimuraDepartment of Human Life Design and Science, Faculty of Design, Kyusyu University, 4-9-1 Shiobaru, Minami-Ku, Fukuoka, 815-8540, Japan. nishimur@design.kyushu-u.ac.jp.

Funding

Japan Society for the Promotion of Science 23H02568Japan Society for the Promotion of Science 24K02114
6 · The paper itself

Abstract

We conducted an epidemiological study of Tibetan highlanders in Tsarang Village, Mustang District, Nepal, and reported the findings in Arima et al. (Journal of Physiological Anthropology, 43:25, 2024). Subsequently, Sienna R. Craig and colleagues, who have conducted long-term research in the same region, published a commentary on our study, providing an opportunity for further scholarly discussion. In their commentary, Craig et al. highlighted differences between our study and theirs in the reference values used for disease classification, as well as the limited explanation provided in our article regarding the rationale for selecting these values. They further noted that these differences may have contributed to discrepancies in the summary and interpretation of population health indicators between the two studies. In this commentary, we seek to clarify the background and rationale underlying the reference values and analytical choices adopted in our study, and to discuss how differences in study design and population characteristics may influence prevalence estimates and interpretations of health status. Through this discussion, we aim to contribute to a more nuanced understanding of health assessment among Tibetan highlanders living at high altitude.

Indexed as

AltitudeAdultAnthropology, PhysicalFemaleHumansMaleMiddle AgedNepalPrevalenceReference ValuesTibetClinical criteriaNepalPrevalence comparisonTibetan highlander

Identifiers

PMID41634838
PMCPMC12869975

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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.