Evidence map›Paper›PMID 39354292›Full record

ReviewLa Radiologia medica2024

From twilight to starlight? Debating the role of chemoradiotherapy in gastric cancer in the D2 dissection era.

Mauro Loi, Marcel Verheij, Joost Nuyttens, Marta Scorsetti, Lorenzo Livi, Maria A Hawkins, Florence Huguet

Abstract readReview
PubMed Publisher
In one paragraph

Review in La Radiologia medica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Mauro LoiRadiation Oncology, Azienda Universitaria Ospedaliera Careggi, Florence, Italy. mauro.loi82@gmail.com.ORCID http://orcid.org/0000-0002-0360-3275
Marcel VerheijDepartment of Radiation Oncology, Radboud University Medical Center, Nijmegen, The Netherlands.
Joost NuyttensDepartment of Radiation Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Marta ScorsettiDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Lorenzo LiviDepartment of Experimental and Clinical Biomedical Sciences Mario Serio, University of Florence, Florence, Italy.
Maria A HawkinsDepartment of Medical Physics and Biomedical Engineering, University College London, London, UK.
Florence HuguetRadiation Oncology Department, Tenon Hospital, AP-HP, Sorbonne University, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients affected by resectable locally advanced gastric cancer (GC) should receive perioperative chemotherapy as a standard of care. However, an additional benefit of adjuvant chemoradiation (CRT) has been negated by modern trials in the era of extended surgical dissection, and CRT is currently only considered on an individual basis in case of suboptimal resection. However, the dismal prognosis of GC and the modest treatment completion rates of perioperative chemotherapy have pushed to reconsider CRT, particularly as a preoperative treatment, in light of modern treatment techniques, advances in the understanding of the immune landscape and development of targeted agents. The aim of this review is to critically assess the historical role of CRT, the limitations of current evidence and to debate its potential role in an integrated neoadjuvant strategy for patients with resectable GC.

Indexed as

Stomach NeoplasmsChemoradiotherapyChemoradiotherapy, AdjuvantGastrectomyHumansLymph Node ExcisionNeoadjuvant TherapyPrognosisChemoradiationChemotherapyGastric adenocarcinomaNeoadjuvantPreoperative

Identifiers

What OpenQuestion holds

Textmetadata
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.