Evidence map›Paper›PMID 39990837›Full record

ReviewSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition2024

[Summary and Analysis of the Application of Natural Medicine in the Treatment of Osteoporosis].

Chuan Song, Chen Fan

Abstract readReviewEnglish Abstract
In one paragraph

Review in Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition, 2024. 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

2 authors.

Chuan Song() ( 610041) Department of Traditional Chinese Medicine, Hospital of the Chengdu Office of People's Government of Tibet Autonomous Region (Branch Hospital of the Chengdu Office of People's Government of Tibet Autonomous Region, West China Hospital, Sichuan University), Chengdu 610041, China.
Chen Fan() ( 610041) Department of Traditional Chinese Medicine, Hospital of the Chengdu Office of People's Government of Tibet Autonomous Region (Branch Hospital of the Chengdu Office of People's Government of Tibet Autonomous Region, West China Hospital, Sichuan University), Chengdu 610041, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this article, we focused on a comprehensive analysis of the current application status of natural medicine in the treatment of osteoporosis, explored their efficacy and safety, and discussed directions and ideas for future research. By reviewing the relevant domestic and international literature, we systematically combed through published research on the etiology, pathogenesis, clinical practice, and modern experimental research of natural medicine applied in the treatment of osteoporosis, and conducted a comprehensive analysis and evaluation accordingly. Natural medicine shows clear curative effects and advantages in the treatment of osteoporosis, which deserves further investigation. Some classic bone-specific natural medicines or prescriptions have potential value in bone growth and development, and they cause few side effects. In the future, further research should be conducted to isolate and extract bioactive anti-osteoporosis compounds from classic prescriptions or bone-specific natural medicines in order to develop potential applications of natural medicine in the treatment of osteoporosis.

Indexed as

Biological ProductsDrugs, Chinese HerbalOsteoporosisPhytotherapyHumansBiological ProductsDrugs, Chinese HerbalEfficacyNatural medicineOsteoporosisReviewSafety

Identifiers

PMID39990837
PMCPMC11839344

What OpenQuestion holds

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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.