Evidence map›Paper›PMID 40842851›Full record

ArticleClinical and translational radiation oncology2025

Unmasking enteritis: reply to commentary titled "Clarifying Gastrointestinal toxicity attribution in WP-SBRT: A commentary on Dinesan et al. and proposal of a bladder-bowel displacement index".

Akshay Dinesan, Maneesh Singh, Vedang Murthy

Abstract readLetter
In one paragraph

Article in Clinical and translational radiation oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Akshay DinesanDepartment of Radiation Oncology, Tata Memorial Hospital and Advanced Centre for Treatment Research and Education in Cancer (ACTREC), Homi Bhabha National Institute (HBNI), Mumbai, India.
Maneesh SinghDepartment of Radiation Oncology, Tata Memorial Hospital and Advanced Centre for Treatment Research and Education in Cancer (ACTREC), Homi Bhabha National Institute (HBNI), Mumbai, India.
Vedang MurthyDepartment of Radiation Oncology, Tata Memorial Hospital and Advanced Centre for Treatment Research and Education in Cancer (ACTREC), Homi Bhabha National Institute (HBNI), Mumbai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We thank the authors for their insightful commentary on our manuscript, "Acute Enteritis with Pelvic SBRT: Influence of Bowel Delineation Methods." In this response, we clarify our methodological decision to focus exclusively on acute enteritis and to exclude proctitis. We highlight the distinct clinical profiles of proctitis and enteritis, emphasizing the importance of careful history taking and clinical evaluation. We believe enteritis is grossly under-reported, despite its clinical relevance, and the dose volume constraints are still being defined for pelvic SBRT. With the increasing adoption of WP-SBRT for high-risk prostate cancer, we felt it was both timely and clinically meaningful to focus exclusively on acute enteritis in this manuscript. We also reflect on the proposed concept of a Bladder-Bowel Displacement Index (BBDI), while intriguing, relative bladder-bowel geometry is only one amongst many patient-related factors that could impact treatment-related toxicity. Developing a geometric predictor for toxicity will warrant careful statistical modelling and prospective validation in large cohorts to be useful in the clinic.

Indexed as

Bladder-Bowel Displacement Index (BBDI)EnteritisProctitisWP-SBRT

Identifiers

PMID40842851
PMCPMC12365525

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.