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Quality of life after radical treatment for muscle invasive bladder cancer: A systematic review and meta-analysis.

2023· review· en· W4324136559 on OpenAlexaff
Giulio Francolini, Arunangshu Ghoshal, Saverio Caini, Tessa Piazzini, Carlotta Becherini, Beatrice Detti, Vanessa Di Cataldo, Marianna Valzano, Michele Ganovelli, Andrea Gaetano Allegra, Giulio Frosini, Luca Burchini, Luca Visani, Viola Salvestrini, Emanuela Olmetto, Mauro Loi, Gabriele Simontacchi, Isacco Desideri, Icro Meattini, Lorenzo Livi

Bibliographic record

VenueJournal of Clinical Oncology · 2023
Typereview
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineCystectomyBladder cancerUrinary diversionSystematic reviewQuality of life (healthcare)Meta-analysisSurgeryMEDLINEIntensive care medicineCancerInternal medicine

Abstract

fetched live from OpenAlex

489 Background: Radical cystectomy (RC) with or without perioperative chemotherapy is considered the standard treatment option for Muscle invasive bladder cancer (MIBC), despite poor oncological outcomes. However, RC is often burdened by significant impact on quality of life (QoL); Continence preserving methods (e.g continent cutaneous urinary diversion and orthotopic neobladder-ONB), have been proposed as alternatives to improve the postoperative QoL, but real benefit of these approaches is questioned. Bladder sparing approach, such as trimodal therapy (TMT) emerged as an alternative to surgery. Aiming to assess the impact of these treatment options from the patients’ perspective, we undertook a systematic review and meta-analysis of literature, focusing on studies specifically reporting QoL data about each of the above mentioned approaches. Main purpose of this review is to compare available treatment options from the QoL point of view and highlight the potential advantage of a bladder sparing approach if compared to different postoperative urinary diversion methods. Methods: A systematic review was carried out including all prospective and retrospective studies enrolling patients treated with radical intent for non-metastatic MIBC from 1999 to 2021 (either RC or TMT). All studies included specifically reported QoL for one of the main treatment approaches explored (RC followed by ileal conduit urinary diversion-ICUD, ONB or TMT). Review was conducted according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement Results: Fifty studies were included in the final analysis, assessing QoL after RC followed by ICUD or ONB in 6 and 15 cases, respectively. Six studies addressed QoL after TMT. ICUD vs ONB and TMT vs ICUD/ONB comparisons were carried out in 21 and 1 studies, respectively. Pooled analysis for EORTC QLQ- C30 and BLM-30 questionnaires showed that ONB yielded a significant advantage if compared to ICUD only for Physical Functioning (pooled mean standardized difference -0.73 SD, p-value 0.019, I 2 =93%) and for Emotional Functioning (pooled mean standardized difference -0.16 SD, p-value 0.029, I 2 =0%). A trend in favour of higher mean reported values after TMT for Global Health Score, Physical Functioning and Role Functioning was found, if compared to both RC approaches. Conclusions: Significant benefit for ONB if compared to ICUD was detected only for specific subdomains of QoL questionnaires. No direct comparison with TMT is available, but data suggest advantage of this approach if compared to both reconstructive scenarios. These data should be used in clinical practice to help well informed patients decision about local treatment choice.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.014
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.019
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0140.036
Bibliometrics0.0060.007
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.568
GPT teacher head0.594
Teacher spread0.026 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2023
Admission routes1
Has abstractyes

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