Evidence map›Paper›PMID 41598368›Full record

ArticleJournal of clinical medicine2026

MRI-Based Morphological Features as Predictors of Clinical Outcomes in Locally Advanced Rectal Cancer Treated with Neoadjuvant Chemoradiotherapy: Insights from a Single-Institution Experience.

Marco Lucarelli, Consuelo Rosa, Giulia de Pasquale, Monica Di Tommaso, Tamara Santone, Antonietta Augurio, Angelo Di Pilla, Marianna Nuzzo, Maria Taraborrelli, Marianna Trignani and 5 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 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

15 authors.

Marco LucarelliDivision of Radiation Oncology, European Institute of Oncology IRCSS, 20141 Milan, Italy.ORCID 0009-0008-9865-4219
Consuelo RosaDepartment of Radiation Oncology, "S.S. Annunziata" Chieti Hospital, 66100 Chieti, Italy.
Giulia de PasqualeDepartment of Radiation Oncology, "S.S. Annunziata" Chieti Hospital, 66100 Chieti, Italy.
Monica Di TommasoDepartment of Radiation Oncology, "S.S. Annunziata" Chieti Hospital, 66100 Chieti, Italy.
Tamara SantoneDepartment of Radiation Oncology, "S.S. Annunziata" Chieti Hospital, 66100 Chieti, Italy.
Antonietta AugurioDepartment of Radiation Oncology, "S.S. Annunziata" Chieti Hospital, 66100 Chieti, Italy.
Angelo Di PillaDepartment of Radiation Oncology, "S.S. Annunziata" Chieti Hospital, 66100 Chieti, Italy.
Marianna NuzzoDepartment of Radiation Oncology, "S.S. Annunziata" Chieti Hospital, 66100 Chieti, Italy.
Maria TaraborrelliDepartment of Radiation Oncology, "S.S. Annunziata" Chieti Hospital, 66100 Chieti, Italy.
Marianna TrignaniDepartment of Radiation Oncology, "S.S. Annunziata" Chieti Hospital, 66100 Chieti, Italy.
Annamaria VinciguerraDepartment of Radiation Oncology, "S.S. Annunziata" Chieti Hospital, 66100 Chieti, Italy.
Andrea Delli PizziDepartment of Innovative Technologies in Medicine and Dentistry, "G. d'Annunzio" University, 66100 Chieti, Italy.
Marta Di NicolaDepartment of Medical, Oral and Biotechnological Sciences, "G. d'Annunzio" University of Chieti, 66100 Chieti, Italy.ORCID 0000-0003-1748-1931
Domenico GenovesiDepartment of Radiation Oncology, "S.S. Annunziata" Chieti Hospital, 66100 Chieti, Italy.
Andrea D'AvieroDepartment of Radiation Oncology, "S.S. Annunziata" Chieti Hospital, 66100 Chieti, Italy.ORCID 0000-0002-9194-620X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

magnetic resonance imagingoutcomes predictionrectal cancer

Identifiers

PMID41598368
PMCPMC12841941

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.