Evidence map›Paper›PMID 37899402›Full record

ArticleZhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences2023

Quality evaluation of the literature on clinical randomized controlled trials of traditional Chinese medicine for treatment of gastric precancerous lesions in the past 20 years.

Qingqing Zhang, Di Wu, Yichen Wang, Fengyun Guo, Shengnan Yang, Ping Wang

Open access · diamondAbstract read
In one paragraph

Article in Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

6 authors at 2 institutions in 1 country.

Qingqing ZhangGraduate School, Beijing University of Chinese Medicine, Beijing 100029, China. zqqq817@163.com.
Di WuDepartment of Spleen and Gastroenterology, the First Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin 150040, China.
Yichen WangDepartment of Spleen and Gastroenterology, Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing 100091, China.
Fengyun GuoGraduate School, Beijing University of Chinese Medicine, Beijing 100029, China.
Shengnan YangGraduate School, Beijing University of Chinese Medicine, Beijing 100029, China.
Ping WangDepartment of Spleen and Gastroenterology, Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing 100091, China. celia_1224@163.com.
Beijing University of Chinese Medicine · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the methodological quality of randomized controlled trials (RCTs) of traditional Chinese medicines for the treatment of gastric precancerous lesions in the past 20 years.

methodsThe RCTs on traditional Chinese medicines for gastric precancerous lesions were searched from the CNKI, Wanfang database, VIP, PubMed, and Embase from January 2001 to December 2021. The retrieved articles were screened, extracted and evaluated based on the 2010 edition of CONSORT statement, Cochrane Risk of Bias Assessment Scale and additional evaluation indicators.

resultsA total of 840 papers were included. According to the Cochrane Risk of Bias Assessment Scale, the high risk of bias in the application of randomized methods was 5.95%; the risk of uncertainty for the allocation scheme concealment was 98.93%; the risk of uncertainty for blinding of patients or testers was 98.69%; the risk of uncertainty for blinding of the outcome assessor was 100.00%; the risk of bias for completeness of the outcome data was 2.86%; and the risk of uncertainty for selective reporting was 98.45%. The CONSORT statement evaluating the quality of reporting showed that 100.00% of the RCT articles reported the 8 entries; 36.79% of the literature mentioned the method of randomized sequence generation, but only 27.62% of the literature mentioned who implemented the randomized program, 1.07% of the literature hid the randomized program and 1.31% of the studies were blinded; 36.67% of the literature reported adverse reactions; no literature reported sample size prediction methods. Additional evaluation indicators showed that 17.02% of the studies had ethical approval; 43.81% of the literature specified Chinese medicine evidence; 16.55% of the studies excluded severe heterotrophic hyperplasia; 7.26% of the studies conducted follow-up; and 65.12% of the literature used composite efficacy indicators; 46.67% of the literature applied pathological histological evaluation; 2.62% of the literature applied quality of life evaluation.

conclusionsThe overall risk of bias in RCTs of traditional Chinese medicines for gastric precancerous lesions is high, and the quality of most of the study reports needs to be improved. In the future, it is necessary to strengthen the study design of RCTs and refer to appropriate traditional Chinese medicines evidence grading standards, select study protocols according to different purposes, provide objective and strong evidence for clinical studies on traditional Chinese medicines, and carry out clinical study design and result reporting suitable for traditional Chinese medicines according to the CONSORT principle.

Indexed as

Medicine, Chinese TraditionalPrecancerous ConditionsHumansRandomized Controlled Trials as TopicGastric precancerous lesionsLiterature studyQuality evaluationRandomized controlled trialTraditional Chinese medicine

Identifiers

PMID37899402
PMCPMC10630059
OpenAlexW4387394351

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.