Evidence map›Paper›PMID 35989714›Full record

ArticleApplied bionics and biomechanics2022

Analysis of Sleep Quality and TCM Constitution Characteristics in 258 Outpatients: A Cross-Sectional Study Based on Outpatient Cases.

Chang Liu, Jing Qu, Luquan Chen, Ruijie Liu

RetractedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in Applied bionics and biomechanics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.0field-weighted citation impact, top 7% 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, 13 citations in OpenAlex.

  1. Trial
  2. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Chang LiuDepartment of Traditional Chinese Medicine, Beijing TongRen Hospital, Capital Medical University, Beijing 100730, China.ORCID https://orcid.org/0000-0002-4031-4392
Jing QuDepartment of Traditional Chinese Medicine, Beijing TongRen Hospital, Capital Medical University, Beijing 100730, China.
Luquan ChenDepartment of Traditional Chinese Medicine, Beijing TongRen Hospital, Capital Medical University, Beijing 100730, China.
Ruijie LiuDepartment of Traditional Chinese Medicine, Beijing TongRen Hospital, Capital Medical University, Beijing 100730, China.ORCID https://orcid.org/0000-0003-4446-052X
Beijing Tongren Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the correlation between traditional Chinese medicine (TCM) constitutions and insomnia by studying the distribution characteristics of different TCM constitutions in an outpatient insomnia population. Methods: From November 2020 to March 2021, 258 patients in the outpatient department of the Traditional Medicine Department of Tongren Hospital were interviewed using some questionnaires (Athens Insomnia Scale and constitution of traditional Chinese medicine), and correlation analysis was conducted. Results: The participants consisted of 152 (58.91%) insomniacs and 106 (41.09%) noninsomniacs. The top four biased constitutions of the insomniac population (the same patient may have two or more constitutions simultaneously), as determined from the proportions of constitutions in ascending order, are as follows: Qi deficiency constitution, 95 cases (62.50%); Yang deficiency constitution, 85 cases (45.95%); blood stasis, 70 cases (37.84%); and qi stagnation, 65 cases (35.14%). The results of the Spearman correlation analysis showed that the standard scores of qi deficiency, Yang deficiency, blood stasis, and Qi stagnation were positively correlated with the total score of AIS ( Conclusion: Insomnia is correlated and the TCM constitution bias, Qi deficiency, Yang deficiency, blood stasis, and Qi stagnation exhibiting the highest correlation.

Identifiers

PMID35989714
PMCPMC9385366
OpenAlexW4290987247

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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.