Evidence map›Paper›PMID 35983515›Full record

ArticleFrontiers in endocrinology2022

Effect of

Hui Su, Haipeng Xue, Shang Gao, Binghan Yan, Ruochong Wang, Guoqing Tan, Zhanwang Xu, Lingfeng Zeng

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
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

8 authors at 4 institutions in 1 country.

Hui SuFirst Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China.
Haipeng XueAffiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
Shang GaoFirst Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China.
Binghan YanFirst Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China.
Ruochong WangCollege of traditional Chinese medicine, Beijing University of Traditional Chinese Medicine, Beijing, China.
Guoqing TanAffiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
Zhanwang XuFirst Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China.
Lingfeng ZengThe 2nd Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Affiliated Hospital of Shandong University of Traditional Chinese Medicine · CNShandong University of Traditional Chinese Medicine · CNBeijing Hospital of Traditional Chinese Medicine · CNFirst Affiliated Hospital of Guangzhou University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoporosis is increasingly becoming a serious problem affecting the quality of life of the older population. Several experimental studies have shown that Chinese medicine has a definite effect on improving osteoporosis. Based on transcriptome sequencing, we analyzed the differential gene expression and mechanism of the related signaling pathways. Fifteen rats were randomly divided into an experimental group, a model group, and a sham surgery group. The rat model for menopausal osteoporosis was established using an ovariectomy method. One week after modeling, the experimental group was administered(intragastric administration)8.1 g/kg of

Indexed as

OsteoporosisPolypodiaceaeAnimalsFemaleQuality of LifeRatsRhizomeTranscriptomeosteoporosisovariectomizedratsRhizoma Drynariaetranscriptome sequencing

Identifiers

PMID35983515
PMCPMC9380231
OpenAlexW4289523036

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.