Evidence map›Paper›PMID 40506902›Full record

ReviewDiagnostics (Basel, Switzerland)2025

Predictive Factors for Gastrointestinal and Genitourinary Toxicities in Prostate Cancer External Beam Radiotherapy: A Scoping Review.

Jerry C F Ching, Kelvin C K Liu, Isaac K H Pang, Alexander J Nicol, Vincent W S Leung, Jing Cai, Shara W Y Lee

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
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

7 authors.

Jerry C F ChingDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.ORCID 0000-0003-1704-4061
Kelvin C K LiuDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.ORCID 0009-0001-1096-7827
Isaac K H PangDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.ORCID 0009-0008-2468-3754
Alexander J NicolDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.ORCID 0000-0002-1633-1133
Vincent W S LeungDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.ORCID 0000-0001-6150-0920
Jing CaiDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.ORCID 0000-0001-6934-0108
Shara W Y LeeDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.ORCID 0000-0001-5257-2076

Funding

Health and Medical Research Fund (HMRF) 09200576Hong Kong PhD Fellowship Scheme (HKPFS) UGC/GEN/456/08, UGC/GEN/456/5/09Innovation and Technology Fund - Mainland - Hong Kong Joint Funding Scheme ITF-MHKJFS, MHP/005/20
6 · The paper itself

Abstract

Advancements in radiotherapy (RT) techniques such as intensity modulation, image guidance, and hypofractionation have facilitated a satisfactory survival outcome in prostate cancer (PCa) patients. However, virtually all PCa patients suffer from various types and extents of radiation toxicities, which are mainly gastrointestinal (GI) and genitourinary (GU) in nature, eroding their quality of life. Thus, early mitigation and preventative measures should be offered, enabled by accurate toxicity prediction. This scoping review provides a comprehensive summary of reported acute and late GI and GU toxicity predictors of conventional fractionation (CFRT), moderate hypofractionation (MHRT), and ultra-hypofractionation (UHRT). A total of 169 studies published between the years 2000 and 2024 (inclusive) were identified from four databases, with 127 and 78 studies investigating GI and GU toxicities, respectively. Univariate analysis was employed in 139 studies to identify predictors, while 94 studies involved multivariate analysis, 40 involved internal model validation, and 5 performed external model validation. Among all studies, dosimetric predictors are the most reported factors, followed by patient, clinical, treatment, disease, genetic, and radiomic features. However, their applicability and performance have not yet been extensively proven in external validation involving multicenter studies. Future predictive studies should also focus on deeper multimodality information, such as radiomics, in addition to the categories of factors consolidated in this study, for an all-rounded investigation. A multicenter study is highly encouraged for prospective external validation. Further investigations into delivered doses and sub-volumes of various regions of interest are necessary. Comprehensive reporting items suggested in this work shall facilitate the reproducibility and comparability of the results.

Indexed as

acute toxicitygastrointestinal toxicitygenitourinary toxicitylate toxicitypredictive factorsprostate cancer

Identifiers

PMID40506902
PMCPMC12154339

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.