Evidence map›Paper›PMID 40385573›Full record

ReviewFrontiers in medicine2025

Traditional Chinese medicine for adhesive intestinal obstruction: theory, methods and mechanisms of action.

Pengfei Zhou, Huiju Yang, Jiawen Wang, Mingming Sun, Shuai Yan

Abstract readReview
In one paragraph

Review in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Pengfei ZhouDepartment of Anorectal Surgery, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Huiju YangDepartment of Aolorectal Surgery, The Third Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China.
Jiawen WangDepartment of Anorectal Surgery, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Mingming SunDepartment of Anorectal Surgery, Suzhou TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Suzhou, China.
Shuai YanDepartment of Anorectal Surgery, Suzhou TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adhesive intestinal obstruction (AIO) represents a common postoperative complication, particularly following abdominal surgery, with reported incidence rates varying between 50 and 80%. Traditional Chinese Medicine (TCM) has proven clinically effective in managing AIO, offering diverse therapeutic approaches that facilitate multi-pathway and multi-target treatment. Clinical evidence consistently supports the favorable safety profile of Traditional Chinese Medicine (TCM). Nevertheless, several critical challenges remain to be addressed, including its complex multi-component nature, insufficiently elucidated mechanisms of action, lack of precise dosage standards, inconsistencies in decoction preparation methods, inconvenient administration procedures, and a paucity of large-scale, multicenter clinical trials with robust evidence. These barriers hinder the widespread adoption and clinical integration of TCM. Moving forward, large-scale, multicenter studies are essential to further investigate the safety and efficacy of TCM. Moreover, reforms in its administration methods and deeper exploration of its mechanisms in AIO treatment are crucial.

Indexed as

acupunctureadhesive intestinal obstructionChinese materia medicamechanismtraditional Chinese medicine

Identifiers

PMID40385573
PMCPMC12081424

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.