Evidence map›Paper›PMID 42487898›Full record

ReviewLaryngoscope investigative otolaryngology2026

Nasal Alar Subunit Reconstruction: A Review of Data.

Deanna C Menapace, William W Shockley, Matthew Miller, J Madison Clark

Abstract readReview
In one paragraph

Review in Laryngoscope investigative otolaryngology, 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

4 authors.

Deanna C MenapaceDivision of Facial Plastic & Reconstructive Surgery Mayo Clinic Florida Jacksonville Florida USA.ORCID https://orcid.org/0000-0003-2596-2719
William W ShockleyDivision of Facial Plastic & Reconstructive Surgery University of North Carolina Chapel Hill Chapel Hill North Carolina USA.
Matthew MillerDivision of Facial Plastic & Reconstructive Surgery University of North Carolina Chapel Hill Chapel Hill North Carolina USA.
J Madison ClarkDivision of Facial Plastic & Reconstructive Surgery University of North Carolina Chapel Hill Chapel Hill North Carolina USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Alar reconstruction is common, yet high-quality outcomes data are limited. This review synthesizes the available literature to guide evidence-informed reconstructive choices. Methods: A systematic review identified 35 eligible studies reporting defect characteristics, techniques, and aesthetic, functional, and graft/flap outcomes. Single-patient case reports, purely technical papers, and studies without outcome data were excluded. Results: Full-thickness skin grafts (FTSG), FTSG with cartilage, and composite grafts have been used with acceptable aesthetic outcomes for small defects. Local flaps are most common for small to intermediate defects, while regional flaps, particularly melolabial (MLF) and paramedian forehead flaps (PMFF), are the primary options for larger defects. PMFFs have higher reported cosmetic satisfaction but may require more secondary procedures. Conclusions: Standard data and evidence reporting for alar subunit reconstruction is very limited, with a predominance of retrospective and technique-driven studies and gestalt-based outcomes. Standardized reporting of defect size, functional outcomes, and validated patient-reported measures is needed. Until higher-quality data is available, reconstructive decisions should be individualized.

Indexed as

alar reconstructioncomposite graftnasal alanasal reconstructionnostril reconstruction

Identifiers

PMID42487898
PMCPMC13388029

What OpenQuestion holds

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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.