Evidence map›Paper›PMID 37279001›Full record

ArticleJAMA network open2023

Outcomes of Different Quality of Life Assessment Modalities After Breast Cancer Therapy: A Network Meta-analysis.

Stavroula Lila Kastora, Alexander Holmquist, Antonios Valachis, Nicola Rocco, Icro Meattini, Navita Somaiah, Anne Peled, Abhishek Chatterjee, Giuseppe Catanuto, Marios Konstantinos Tasoulis and 5 more

Open access · goldAbstract readNetwork Meta-Analysis
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
4.8field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 15 citations in OpenAlex.

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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

15 authors at 12 institutions in 5 countries.

Stavroula Lila KastoraUniversity College London, UCL EGA Institute for Women's Health, London, United Kingdom.
Alexander HolmquistDepartment of Surgical Sciences, Faculty of Medicine, Uppsala University, Uppsala, Sweden.
Antonios ValachisDepartment of Oncology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Nicola RoccoDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
Icro MeattiniDepartment of Experimental and Clinical Biomedical Sciences M. Serio, University of Florence, Florence, Italy.
Navita SomaiahDivision of Radiotherapy and Imaging, Institute of Cancer Research, London, United Kingdom.
Anne PeledSutter Health California Pacific Medical Center, San Francisco.
Abhishek ChatterjeeDivision of Surgical Oncology and Plastic Surgery, Tufts Medical Center, Boston, Massachusetts.
Giuseppe CatanutoG.RE.T.A. Group for Reconstructive and Therapeutic Advancements, Milan, Naples, and Catania, Italy.
Marios Konstantinos TasoulisDivision of Radiotherapy and Imaging, Institute of Cancer Research, London, United Kingdom.
Maurizio Bruno Nava
Philip PoortmansDepartment of Radiation Oncology, Iridium Netwerk, Wilrijk-Antwerpen, Belgium.
Andrea PusicDivision of Plastic and Reconstructive Surgery, Brigham and Women's Hospital, Boston, Massachusetts.
Yazan MasannatSchool of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, United Kingdom.
Andreas KarakatsanisDepartment of Surgical Sciences, Faculty of Medicine, Uppsala University, Uppsala, Sweden.
University of Aberdeen · GBBrigham and Women's Hospital · USInstitute of Cancer Research · GBÖrebro University · SERoyal Marsden NHS Foundation Trust · GBSutter Health · USTufts Medical Center · USUniversity of Antwerp · BEUniversity of Florence · ITUniversity of Naples Federico II · ITUppsala University · SEUppsala University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Improvement in clinical understanding of the priorities of patients with breast cancer (BC) regarding postoperative aesthetic outcomes (AOs) is needed. Objective: To assess expert panel and computerized evaluation modalities against patient-reported outcome measures (PROMs), the gold standard of AO assessment, in patients after surgical management of BC. Data Sources: Embase, MEDLINE, PsycINFO, PubMed, the Cochrane Central Register of Controlled Trials, the World Health Organization International Clinical Trials Registry Platform, and ClinicalTrials.gov were interrogated from inception through August 5, 2022. Search terms included breast conserving AND aesthetic outcome AND breast cancer. Ten observational studies were eligible for inclusion, with the earliest date of database collection on December 15, 2022. Study Selection: Studies with at least 1 pairwise comparison (PROM vs expert panel or PROM vs computerized evaluation with Breast Cancer Conservation Treatment cosmetic results [BCCT.core] software) were considered eligible if they included patients who received BC treatment with curative intent. Studies reporting solely on risk reduction or benign surgical procedures were excluded to ensure transitivity. Data Extraction and Synthesis: Two independent reviewers extracted study data with an independent cross-check from a third reviewer. The quality of included observational studies was assessed using the Newcastle-Ottawa Scale, and the level of evidence quality was assessed using the Grading of Recommendations Assessment, Development and Evaluation tool. Confidence in network meta-analysis results was analyzed with the Confidence in Network Meta-analysis semiautomated tool. Effect size was reported using random-effects odds ratios (ORs) and cumulative ratios of ORs with 95% credibility intervals (CrIs). Main Outcomes and Measures: The primary outcome of this network meta-analysis was modality (expert panel or computer software) discordance from PROMs. Four-point Likert responses across PROMs, expert panel assessment, and BCCT.core evaluation of AOs were assessed. Results: A total of 10 observational studies including 3083 patients (median [IQR] age, 59 [50-60] years; median [range] follow-up, 39.0 [22.5-80.5] months) with reported AOs were assessed and homogenized in 4 distinct Likert response groups (excellent, very good, satisfactory, and bad). Overall network incoherence was low (χ22 = 0.35; P = .83). Overall, panel and software modalities graded AO outcomes worse than PROMs. Specifically, for excellent vs all other responses, the panel to PROM ratio of ORs was 0.30 (95% CrI, 0.17-0.53; I2 = 86%) and the BCCT.core to PROM ratio of ORs was 0.28 (95% CrI, 0.13-0.59; I2 = 95%), while the BCCT.core to panel ratio of ORs was 0.93 (95% CrI, 0.46-1.88; I2 = 88%). Conclusions and Relevance: In this study, patients scored AOs higher than both expert panels and computer software. Standardization and supplementation of expert panel and software AO tools with racially, ethnically, and culturally inclusive PROMs is needed to improve clinical evaluation of the journey of patients with BC and to prioritize components of therapeutic outcomes.

Indexed as

Breast NeoplasmsBreastFemaleHumansMiddle AgedQuality of Life

Identifiers

PMID37279001
PMCPMC10245190
OpenAlexW4379508248

What OpenQuestion holds

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LicenceCC BY
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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.