Evidence map›Paper›PMID 37492779›Full record

ArticleAdvances in radiation oncology

Near-Surface Dose Correlates With Moist Desquamation and Unplanned Reconstructive Surgery in Patients With Implant-Based Reconstruction Receiving Postmastectomy Radiation Therapy.

Ronald Levitin, Kamran Salari, Bryan S Squires, Allison J Hazy, Michael J Maywood, Patrick Thrasher, Anthony P Delise, Muayad F Almahariq, Nayana Dekhne, Lauren Oliver and 4 more

Open access · goldAbstract read
In one paragraph

Article in Advances in radiation oncology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 25% of its field
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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

14 authors at 4 institutions in 1 country.

Ronald LevitinDepartment of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan.
Kamran SalariDepartment of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan.
Bryan S SquiresRadiation oncology, Huron River Radiation Oncology Specialists, Ypsilanti, Michigan.
Allison J HazyDepartment of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan.
Michael J MaywoodDepartment of Ophthalmology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan.
Patrick ThrasherOakland University William Beaumont School of Medicine, Rochester, Michigan.
Anthony P DeliseDepartment of Family Medicine, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan.
Muayad F AlmahariqDepartment of Radiation Oncology, Corewell Health Dearborn Hospital, Dearborn, Michigan.
Nayana DekhneDepartment of Breast Surgery, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan.
Lauren OliverDepartment of Plastic Surgery, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan.
Peter Y ChenDepartment of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan.
Kailee J WaltersDepartment of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan.
Diane DudleyDepartment of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan.
Joshua T DilworthDepartment of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan.
Beaumont Hospital, Troy · USCorewell HealthHuron Gastro · USOakland University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Postmastectomy radiation therapy (PMRT) reduces disease recurrence in appropriately selected patients but may compromise implant-based reconstruction. We investigated whether near-surface dose correlates with radiation-related toxic effects in these patients. Methods and Materials: Patients receiving PMRT at a single institution from 2016 to 2019 were retrospectively reviewed. Patient demographics and treatment information were collected. Three near-surface structures were retrospectively generated, bound by the chest wall tangent beam as well as the skin surface and the skin-3 mm contour (SR3), skin surface and skin-5 mm contour (SR5), or skin-5 and skin-10 mm contours. Dosimetric analysis of these near-surface contours was performed in 2 Gy intervals. Univariate and multivariate analyses were used to identify predictors of moist desquamation, grade 2+ chest wall pain, use of opiate pain medication, unplanned reconstructive surgery, and implant failure. Logistic regression for each outcome and near-surface contour was performed for receiver-operator area under the curve (AUC) analysis and the Youden J Statistic was used to determine the optimal threshold for each dosimetric parameter. Results: Of 126 patients reviewed, 109 met the study's eligibility criteria. Median follow-up was 2.3 years. Twenty-five patients (23%) underwent unplanned reconstructive surgery, and 10 (9.2%) experienced implant failure. Among clinical variables, low body mass index and history of smoking predicted unplanned surgery on univariate and multivariate analyses, and moist desquamation predicted grade 2+ chest wall pain. The top dosimetric parameters by AUC for moist desquamation, grade 2+ chest wall pain, use of opiates, unplanned reconstructive surgery, and implant failure were SR5 D10 cc (AUC = 0.701, optimal threshold 57.8 Gy, Conclusions: Near-surface dose correlates with moist desquamation and unplanned reconstructive surgery after PMRT. Further evaluation of prospective optimization of dosimetric parameters related to SR3 and SR5 should be considered.

Identifiers

PMID37492779
PMCPMC10363637
OpenAlexW4379467833

What OpenQuestion holds

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Registered trials

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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.