Evidence map›Paper›PMID 41674757›Full record

ReviewCureus2026

Bone Marrow-Sparing Pelvic Radiotherapy: Clinical Evidence, Dosimetric Constraints, and Clinical Outcomes.

Reyzane El Mjabber, Rim Alami, Asmaa Naim, Fadila Kouhen, Nabil Ismaili, Sanaa El Majjaoui, Zineb Dahbi

Abstract readReview
In one paragraph

Review in Cureus, 2026. 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

7 authors.

Reyzane El MjabberRadiation Oncology, Mohammed VI University of Sciences and Health (UM6SS), Casablanca, MAR.
Rim AlamiRadiation Oncology, Mohammed VI University of Sciences and Health (UM6SS), Casablanca, MAR.
Asmaa NaimRadiation Oncology, Mohammed VI University of Sciences and Health (UM6SS), Casablanca, MAR.
Fadila KouhenRadiation Oncology, Mohammed VI University of Sciences and Health (UM6SS), Rabat, MAR.
Nabil IsmailiMedical Oncology, Mohammed VI University of Sciences and Health (UM6SS), Casablanca, MAR.
Sanaa El MajjaouiRadiation Oncology, Mohammed VI University of Sciences and Health (UM6SS), Casablanca, MAR.
Zineb DahbiRadiation Oncology, Mohammed VI University of Sciences and Health (UM6SS), Casablanca, MAR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pelvic radiotherapy is widely used in the treatment of several common malignancies but is frequently accompanied by hematologic toxicity due to incidental irradiation of active bone marrow within the pelvis. Growing interest has therefore focused on strategies aimed at reducing unnecessary marrow exposure while preserving target coverage and treatment effectiveness. This narrative review provides an overview of the biological basis of radiation-induced marrow injury, current approaches to bone marrow identification and sparing, and the clinical relevance of these strategies across major pelvic cancer sites. Available evidence suggests that limiting bone marrow irradiation can reduce treatment-related hematologic toxicity, particularly in patients receiving combined modality therapy, and may have implications for immune preservation. However, the extent to which marrow-sparing techniques influence long-term oncologic outcomes remains uncertain. Further prospective research is required to refine planning strategies and to better define the clinical role of bone marrow preservation in pelvic radiotherapy.

Indexed as

bone marrow-sparingclinical outcomesdose-volume parametershematologic toxicitypelvic radiotherapyradiation-induced lymphopenia

Identifiers

PMID41674757
PMCPMC12888062

What OpenQuestion holds

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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.