Evidence map›Paper›PMID 40342005›Full record

ArticleAnnals of surgical oncology2025

The Five-Item Modified Frailty Index Predicts Adverse Surgical Outcomes in Patients Undergoing Mastectomy.

Laetitia S Chiarella, Lioba Huelsboemer, Fortunay Diatta, Felix J Klimitz, Alexander J Kammien, Alejandro Kochen, Sam Boroumand, Omar Allam, Martin Kauke-Navarro, Bohdan Pomahac

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Article in Annals of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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4 · The record

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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

10 authors.

Laetitia S Chiarella *Division of Plastic and Reconstructive Surgery, Department of Surgery, Yale New Haven Hospital, Yale School of Medicine, New Haven, CT, USA.
Lioba Huelsboemer *Division of Plastic and Reconstructive Surgery, Department of Surgery, Yale New Haven Hospital, Yale School of Medicine, New Haven, CT, USA.
Fortunay Diatta *Division of Plastic and Reconstructive Surgery, Department of Surgery, Yale New Haven Hospital, Yale School of Medicine, New Haven, CT, USA.
Felix J KlimitzDivision of Plastic and Reconstructive Surgery, Department of Surgery, Yale New Haven Hospital, Yale School of Medicine, New Haven, CT, USA.
Alexander J KammienDivision of Plastic and Reconstructive Surgery, Department of Surgery, Yale New Haven Hospital, Yale School of Medicine, New Haven, CT, USA.
Alejandro KochenDivision of Plastic and Reconstructive Surgery, Department of Surgery, Yale New Haven Hospital, Yale School of Medicine, New Haven, CT, USA.
Sam BoroumandDivision of Plastic and Reconstructive Surgery, Department of Surgery, Yale New Haven Hospital, Yale School of Medicine, New Haven, CT, USA.
Omar AllamDivision of Plastic and Reconstructive Surgery, Department of Surgery, Yale New Haven Hospital, Yale School of Medicine, New Haven, CT, USA.
Martin Kauke-NavarroDivision of Plastic and Reconstructive Surgery, Department of Surgery, Yale New Haven Hospital, Yale School of Medicine, New Haven, CT, USA.
Bohdan PomahacDivision of Plastic and Reconstructive Surgery, Department of Surgery, Yale New Haven Hospital, Yale School of Medicine, New Haven, CT, USA. bohdan.pomahac@yale.edu.ORCID http://orcid.org/0000-0003-3703-8240

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 5-item modified Frailty Index (mFI-5) is a clinical tool to predict adverse outcomes in surgical patients by assessing five comorbidities: diabetes, hypertension, congestive heart failure, chronic obstructive pulmonary disease, and dependent functional status. It helps to evaluate postoperative complication risks, recovery time, and overall survival, particularly in frail patients undergoing oncological and gynecological surgeries.

methodsThis retrospective cohort study analyzed American College of Surgeons, National Surgical Quality Improvement Program data from adult female patients undergoing mastectomy procedures without reconstruction between 2017 and 2022. Patients were selected based on Current-Procedural-Terminology codes, excluding incomplete or non-breast-related cases. Preoperative, perioperative, and 30-day postoperative data were analyzed using logistic and linear regression models, with the mFI-5 cutoff set at 2.

resultsBetween 2017 and 2022, 860 patients underwent mastectomies at Yale Healthcare Network; 19% (n = 163) had mFI score ≥2. High-risk patients (mFI ≥2) were significantly older (66.32 ± 10.83 years) and had a higher body mass index (33.69 ± 7.73, both p < 0.001). Surgical complications occurred in 11.98% of patients, with a higher rate in the high-risk group (22.7% vs. 9.5%, p < 0.001). Adjusted multivariate logistic regression showed an increased risk of complications in frail patients (aOR 2.66; [1.60-4.43], p < 0.001). Although slight reductions in hospital stay and surgery duration were observed for high-risk patients, these differences were not significant. Sensitivity analysis confirmed higher odds of complications, including acute kidney failure (odds ratio [OR] 9.01) and pneumonia (OR 4.10).

conclusionsThe mFI-5 is a robust tool for predicting surgical complications in patients undergoing mastectomy, particularly those with multiple comorbidities.

Indexed as

Breast NeoplasmsFrailtyMastectomyPostoperative ComplicationsAgedComorbidityFemaleFollow-Up StudiesHumansMiddle AgedPrognosisRetrospective StudiesRisk FactorsSurvival RateACS-NSQIP databaseFrailtyModified Frailty Index (mFI-5)Pre-procedural screeningRisk stratificationSurgical outcomes

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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.