Evidence map›Paper›PMID 42781438›Full record

ArticleJPRAS open2026

An individualized reconstructive algorithm for large facial defects after tumor resection in elderly patients: A retrospective case series.

Xuanda Liu, Zhiguo Yang, Honghong Li

Abstract read
In one paragraph

Article in JPRAS open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

3 authors.

Xuanda LiuDepartment of Plastic Surgery, Second Affiliated Hospital of Anhui Medical University, Hefei, 230001, Anhui Province, China.
Zhiguo YangDepartment of Plastic Surgery, Second Affiliated Hospital of Anhui Medical University, Hefei, 230001, Anhui Province, China.
Honghong LiDepartment of Plastic Surgery, Second Affiliated Hospital of Anhui Medical University, Hefei, 230001, Anhui Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reconstruction of large facial defects after tumor resection in elderly patients requires a balance between defect complexity, facial function, and limited physiologic reserve. This retrospective case series included 28 patients aged 65 years or older who were treated between October 2008 and January 2026. A large defect was defined clinically as one unsuitable for primary closure and/or requiring graft or flap reconstruction because of anatomical or functional complexity. Outcomes at the final available follow-up were independently reassessed by two plastic surgeons who had not participated in the index procedures, using de-identified records, postoperative photographs, and a predefined functional checklist. Data were analyzed descriptively. Defect size ranged from 5 × 6 cm to 12 × 16 cm. Full-thickness skin grafts were used in 13 patients, regional or pedicled flaps in 9, and free or bulky myocutaneous flaps in 6. Complete wound closure was achieved in all patients, and all 28 grafts or flaps survived. Five postoperative complications occurred within 30 days: three Clavien-Dindo grade I and two grade II; no grade III-V complications occurred. Median follow-up was 5 months (range, 3-8 months) in the skin-graft group, 10 months (range, 8-24 months) in the regional or pedicled flap group, and 16 months (range, 10-60 months) in the free-flap group. In the 27 definitive/curative-intent cases, no reconstruction failure was documented; the single palliative-intent case achieved stable wound coverage and local symptom control. These findings support an individualized reconstructive strategy based on defect characteristics and operative tolerance.

Indexed as

Elderly patientsFacial neoplasmsLarge facial defectsReconstructive algorithmSkin graftingSurgical flaps

Identifiers

PMID42781438
PMCPMC13599561

What OpenQuestion holds

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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.