Evidence map›Paper›PMID 41954397›Full record

ArticlePlastic and reconstructive surgery2026

Modeling the Arc of Financial Well-Being in Breast Reconstruction: A Mixed-Methods Study.

Danielle H Rochlin, Jenny Chen, Ayana Cole-Price, Jaime Gilliland, Charles Jiang, Lillian Boe, Emeline Aviki, Jonas A Nelson, Evan Matros

Abstract read
In one paragraph

Article in Plastic and reconstructive surgery, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Danielle H Rochlin. Plastic and Reconstructive Surgery Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
Jenny Chen. Plastic and Reconstructive Surgery Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
Ayana Cole-Price. Plastic and Reconstructive Surgery Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
Jaime Gilliland. Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY.
Charles Jiang. Plastic and Reconstructive Surgery Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
Lillian Boe. Department of Obstetrics and Gynecology, NYU Grossman School of Medicine, New York, NY.
Emeline Aviki. Department of Obstetrics and Gynecology, NYU Grossman School of Medicine, New York, NY.
Jonas A Nelson. Plastic and Reconstructive Surgery Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
Evan Matros. Plastic and Reconstructive Surgery Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundThe objectives of this study were to determine if financial considerations affect reconstructive decision-making, and conversely if reconstructive choice affects downstream financial burden.

methodsWe conducted mixed-methods study with a convergent design. Patients undergoing mastectomy with or without reconstruction were administered the Comprehensive Score for Financial Toxicity (COST) questionnaire before and after surgical treatment, where COST ≤20 indicated financial toxicity (FT). Multivariable regression models were used to identify predictors of FT and changes in COST score. Additionally, we conducted semi-structured interviews with patients who screened positive for FT to comprehensively capture experiences with financial burden.

resultsThere were 1,029 patients with a COST score prior to mastectomy, with a 30.6% rate of FT. Significant predictors of FT included age (OR 0.97), race (Asian OR 2.12, Black OR 2.66, compared to White), marital status (divorced/separated OR 2.70, single OR 2.43, compared to partnered), and neighborhood-level socioeconomic deprivation (OR 1.15) (p<0.02). Receipt of reconstruction was not significantly associated with baseline FT, nor were type and timing among those who underwent reconstruction (N=739). Additionally, receipt, type, and/or timing of reconstruction were not significantly associated with a change in COST score (full cohort N=446, reconstruction cohort N=297). Interviews yielded 3 themes: prioritizing outcomes over financial implications, difficulties navigating and maintaining insurance coverage, and a need for greater transparency and access to financial resources.

conclusionBidirectional relationships between FT and receipt, type, and timing of reconstruction did not reach statistical significance. Additional patient-centric financial navigation and price transparency are warranted to mitigate financial burden.

Identifiers

PMID41954397
PMCPMC13651756

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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.