Evidence map›Paper›PMID 34671421›Full record

ReviewTherapeutic advances in gastroenterology2021

Treatment in locally advanced rectal cancer: a machine learning bibliometric analysis.

Francesca De Felice, Daniele Crocetti, Niccolò Petrucciani, Liliana Belgioia, Paolo Sapienza, Nadia Bulzonetti, Francesco Marampon, Daniela Musio, Vincenzo Tombolini

Abstract readReview
In one paragraph

Review in Therapeutic advances in gastroenterology, 2021. 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

9 authors.

Francesca De FeliceDepartment of Radiotherapy, Policlinico Umberto I, Sapienza University of Rome, Viale Regina Elena 326, 00161 Rome, Italy.ORCID https://orcid.org/0000-0002-5119-8358
Daniele CrocettiDepartment of Surgery 'Pietro Valdoni', Policlinico Umberto I, Sapienza University of Rome, Rome, Italy.
Niccolò PetruccianiGeneral Surgery Unit, Department of Medical and Surgical Sciences and Translational Medicine, St. Andrea University Hospital, Sapienza University of Rome, Rome, Italy.
Liliana BelgioiaRadiation Oncology Department, IRCCS Ospedale Policlinico San Martino, University of Genoa, Genova, Italy.
Paolo SapienzaDepartment of Surgery 'Pietro Valdoni', Policlinico Umberto I, Sapienza University of Rome, Rome, Italy.
Nadia BulzonettiDepartment of Radiotherapy, Policlinico Umberto I, Sapienza University of Rome, Rome, Italy.
Francesco MaramponDepartment of Radiotherapy, Policlinico Umberto I, Sapienza University of Rome, Rome, Italy.
Daniela MusioDepartment of Radiotherapy, Policlinico Umberto I, Sapienza University of Rome, Rome, Italy.
Vincenzo TomboliniDepartment of Radiotherapy, Policlinico Umberto I, Sapienza University of Rome, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A bibliometric analysis was performed using a machine learning bibliometric methodology in order to evaluate the research trends in locally advanced rectal cancer treatment between 2000 and 2020. Information regarding publication outputs, countries, institutions, journals, keywords, funding, and citation counts was retrieved from Scopus database. During the search process, a total of 2370 publications were identified. The vast majority of papers originated from the United States of America, reflecting also its research drive in the collaboration network. Neoadjuvant treatment was the topic most studied in the highly cited studies. New keywords, including neoadjuvant chemotherapy, multiparametric magnetic resonance imaging, circulating tumor DNA, and genetic heterogeneity, appeared in the last 2 years. The quantity of publications on locally advanced rectal cancer treatment since 2000 showed an evolving research field. The 'new' keywords explain where research is presently heading.

Indexed as

bibliometric analysischemotherapymachine learningradiotherapyrectal cancersurgery

Identifiers

PMID34671421
PMCPMC8521411

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.