Evidence map›Paper›PMID 35600859›Full record

SynthesisFrontiers in pharmacology2022

Evidence and Characteristics of Traditional Chinese Medicine for Coronary Heart Disease Patients With Anxiety or Depression: A Meta-Analysis and Systematic Review.

Baofu Wang, Yu Teng, Yang Li, Sijia Lai, Yang Wu, Shiqi Chen, Tong Li, Xiaowan Han, Hufang Zhou, Yu Wang and 6 more

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 5% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

16 authors at 2 institutions in 1 country.

Baofu WangDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Yu TengDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Yang LiDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Sijia LaiDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Yang WuDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Shiqi ChenDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Tong LiDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Xiaowan HanDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Hufang ZhouDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Yu WangThe First Hospital of Hebei Medical University, Shijiazhuang, China.
Ziwen LuDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Haiyan LiDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Yukun DingDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Liang MaDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Mingjing ZhaoDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Xian WangDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine · CNHebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

anxietyChinese herbal medicinecoronary heart diseasedepressionefficacy

Identifiers

PMID35600859
PMCPMC9117623
OpenAlexW4229012434

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.