Evidence map›Paper›PMID 40160960›Full record

ArticleJournal of plastic and reconstructive surgery2025

Near-infrared Spectroscopy-guided Flap Delay: For Flap Training and Timing of Pedicle Division.

Sally Sj Chan, Chong H Pek, Yijun Wu, Yuan Kong, Wei M Ho, Jolie Jy Hwee

Abstract read
In one paragraph

Article in Journal of plastic and reconstructive surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Sally Sj ChanDivision of Plastic, Reconstructive and Aesthetic Surgery, Department of General Surgery, Khoo Teck Puat Hospital, Singapore, Singapore.
Chong H PekDivision of Plastic, Reconstructive and Aesthetic Surgery, Department of General Surgery, Khoo Teck Puat Hospital, Singapore, Singapore.
Yijun WuDivision of Plastic, Reconstructive and Aesthetic Surgery, Department of General Surgery, Khoo Teck Puat Hospital, Singapore, Singapore.
Yuan KongDivision of Plastic, Reconstructive and Aesthetic Surgery, Department of General Surgery, Khoo Teck Puat Hospital, Singapore, Singapore.
Wei M HoDivision of Plastic, Reconstructive and Aesthetic Surgery, Department of General Surgery, Khoo Teck Puat Hospital, Singapore, Singapore.
Jolie Jy HweeDivision of Plastic, Reconstructive and Aesthetic Surgery, Department of General Surgery, Khoo Teck Puat Hospital, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Staged pedicled flaps continue to be a safe and effective technique for reconstructing complex wounds when free tissue transfer is not possible. To induce ischemic preconditioning, serial cross-clamping of the pedicle is performed, which is also known as flap training. Current protocols for flap training are based on arbitrary schedules of progressively increasing periods of ischemia. We describe a simple, safe, and reproducible technique of using near-infrared spectroscopy to objectively guide the process of pedicle cross-clamping and aid in determining the optimal timing for flap division. This technique enables surgeons to adopt a more aggressive clamping schedule based on objective parameters, tailors the clamping schedule to the physiologically tolerable limits of each flap, and allows for early flap division. The principles, feasibility, and advantages of using near-infrared spectroscopy to guide pedicled flap training and early flap division are discussed.

Indexed as

flap delayflap trainingischemic preconditioningnear-infrared spectroscopyreconstructive surgery

Identifiers

PMID40160960
PMCPMC11950558

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.