Evidence map›Paper›PMID 42490805›Full record

ArticleFrontiers in medicine2026

Evidence-based strategies to improve implementation of tumor isolation techniques in colorectal cancer surgery.

Hailei Bian, Qingqing Du, Saishan Zhu, Mingsi Fan, Wenwen Tong, Li Ni

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. 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

6 authors.

Hailei Bian *Department of Operating Room, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Qingqing Du *Tongji University School of Medicine, Shanghai, China.
Saishan ZhuDepartment of Operating Room, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Mingsi FanMedical Center of Stomatology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Wenwen TongDepartment of Operating Room, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Li NiDepartment of Nursing, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to develop evidence-based implementation strategies for colorectal cancer (CRC) surgical isolation techniques and evaluate current compliance through a baseline clinical audit, as part of a JBI evidence translation project. Methods: Following PRISMA and the PIPOST model, 8 studies were included and 10 best evidence items were extracted. Results: A baseline audit at a Shanghai Grade 3A hospital (n = 242 patients, 28 nurses, 13 surgeons) revealed compliance below 60% for 7 of 10 audit indicators (e.g., abdominal cavity flushing: 45.45%; intraoperative glove replacement: 45.87%), while two high-level evidence indicators achieved 100% compliance. Key barriers included insufficient training (65.70% compliance) and poor team communication. Facilitators included staff training willingness and adequate equipment. Conclusion: The study presents a multi-level strategy framework targeting system, practitioner, and patient factors to standardize practice and improve compliance with tumor isolation techniques. The effectiveness of these strategies in reducing iatrogenic metastasis requires future evaluation through post-intervention re-audit.

Indexed as

colorectal cancerevidence-based practiceisolation technologyobstacle factortumor-free technology

Identifiers

PMID42490805
PMCPMC13375456

What OpenQuestion holds

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LicenceCC BY
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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.