Evidence map›Paper›PMID 37702885›Full record

ReviewCurrent treatment options in oncology2023

The Crying Need for a Better Response Assessment in Rectal Cancer.

Samuel Amintas, Nicolas Giraud, Benjamin Fernandez, Charles Dupin, Quentin Denost, Aurelie Garant, Nora Frulio, Denis Smith, Anne Rullier, Eric Rullier and 3 more

Open access · hybridAbstract readReview
In one paragraph

Review in Current treatment options in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 11% of its field
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

9 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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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

13 authors at 4 institutions in 3 countries.

Samuel AmintasTumor Biology and Tumor Bank Laboratory, CHU Bordeaux, F-33600, Pessac, France. samuel.amintas@u-bordeaux.fr.ORCID 0000-0003-3238-5251
Nicolas GiraudDepartment of Radiation Oncology, CHU Bordeaux, F-33000, Bordeaux, France.
Benjamin FernandezSurgery Department, CHU Bordeaux, F-33600, Pessac, France.
Charles DupinBRIC (BoRdeaux Institute of onCology), UMR1312, INSERM, University of Bordeaux, F-33000, Bordeaux, France.
Quentin DenostBordeaux Colorectal Institute, F-33000, Bordeaux, France.
Aurelie GarantUT Southwestern Department of Radiation Oncology, Dallas, USA.
Nora FrulioRadiology Department, CHU Bordeaux, F-33600, Pessac, France.
Denis SmithDepartment of Digestive Oncology, CHU Bordeaux, F-33600, Pessac, France.
Anne RullierHistology Department, CHU Bordeaux, F-33000, Bordeaux, France.
Eric RullierBRIC (BoRdeaux Institute of onCology), UMR1312, INSERM, University of Bordeaux, F-33000, Bordeaux, France.
Te VuongDepartment of Radiation Oncology, McGill University, Jewish General Hospital, Montreal, Canada.
Sandrine DabernatBRIC (BoRdeaux Institute of onCology), UMR1312, INSERM, University of Bordeaux, F-33000, Bordeaux, France.
Véronique VendrelyBRIC (BoRdeaux Institute of onCology), UMR1312, INSERM, University of Bordeaux, F-33000, Bordeaux, France.
Centre Hospitalier Universitaire de Bordeaux · FRUniversité de Bordeaux · FRJewish General Hospital · CASouthwestern Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

opinion statementSince total neoadjuvant treatment achieves almost 30% pathologic complete response, organ preservation has been increasingly debated for good responders after neoadjuvant treatment for patients diagnosed with rectal cancer. Two organ preservation strategies are available: a watch and wait strategy and a local excision strategy including patients with a near clinical complete response. A major issue is the selection of patients according to the initial tumor staging or the response assessment. Despite modern imaging improvement, identifying complete response remains challenging. A better selection could be possible by radiomics analyses, exploiting numerous image features to feed data characterization algorithms. The subsequent step is to include baseline and/or pre-therapeutic MRI, PET-CT, and CT radiomics added to the patients' clinicopathological data, inside machine learning (ML) prediction models, with predictive or prognostic purposes. These models could be further improved by the addition of new biomarkers such as circulating tumor biomarkers, molecular profiling, or pathological immune biomarkers.

Indexed as

Positron Emission Tomography Computed TomographyRectal NeoplasmsBiomarkersChemoradiotherapyCryingHumansNeoadjuvant TherapyRetrospective StudiesTreatment OutcomeWatchful WaitingBiomarkersChemoradiotherapyNon-operative managementRectal brachytherapyRectal cancerRectal preservationResponse assessmentTRG

Identifiers

PMID37702885
PMCPMC10643426
OpenAlexW4386695406

What OpenQuestion 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 OpenQuestion graph.