Evidence map›Paper›PMID 37808250›Full record

ReviewAcupuncture and herbal medicine2022

Anti-fatigue effect from

Xiangda Zhou, Keying Zhang, Lanbo Liu, Qianru Zhao, Ming Huang, Rui Shao, Yanyan Wang, Bin Qu, Yu Wang

Open access · diamondAbstract readReview
In one paragraph

Review in Acupuncture and herbal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. 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

9 authors at 2 institutions in 2 countries.

Xiangda ZhouDepartment of Biophysics, Center for Integrative Physiology and Molecular Medicine (CIPMM), School of Medicine, Saarland University, Homburg, Germany.
Keying ZhangSchool of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
Lanbo LiuSchool of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
Qianru ZhaoSchool of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Ming HuangState Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Rui ShaoState Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Yanyan WangSchool of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Bin QuDepartment of Biophysics, Center for Integrative Physiology and Molecular Medicine (CIPMM), School of Medicine, Saarland University, Homburg, Germany.
Yu WangSchool of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Tianjin University of Traditional Chinese Medicine · CNSaarland University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two years after the coronavirus disease 2019 (COVID-19) outbreak, an increasing number of patients continue to suffer from long COVID (LC), persistent symptoms, and/or delayed or long-term complications beyond the initial 4 weeks from the onset of symptoms. Constant fatigue is one of the most common LC symptoms, leading to severely reduced quality of life among patients.

Indexed as

FatigueGinseng Radix et RhizomaLong COVIDSARS-CoV-2

Identifiers

PMID37808250
PMCPMC9407182
OpenAlexW4284966488

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.