Evidence map›Paper›PMID 33330097›Full record

ArticleFrontiers in oncology2020

Nicola Simoni, Gabriella Rossi, Giulio Benetti, Michele Zuffante, Renato Micera, Michele Pavarana, Stefania Guariglia, Emanuele Zivelonghi, Valentina Mengardo, Jacopo Weindelmayer and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. The role of FDG PET/CT radiomics in the prediction of pathological response to neoadjuvant treatment in patients with esophageal cancer.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2024
    Article
  6. Review
  7. Thoracic cancer · 2023
    Article
  8. Article
  9. The Oesophageal Cancer Multidisciplinary Team: Can Machine Learning Assist Decision-Making?Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2023
    Review
  10. Article
  11. [S-methyl-Scientific reports · 2022
    Article
  12. Review
  13. Review
  14. Review
  15. Review
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

14 authors at 1 institution in 1 country.

Nicola SimoniDepartment of Radiation Oncology, University of Verona Hospital Trust, Verona, Italy.
Gabriella RossiDepartment of Radiation Oncology, University of Verona Hospital Trust, Verona, Italy.
Giulio BenettiDepartment of Medical Physics, University of Verona Hospital Trust, Verona, Italy.
Michele ZuffanteDepartment of Nuclear Medicine, University of Verona Hospital Trust, Verona, Italy.
Renato MiceraDepartment of Radiation Oncology, University of Verona Hospital Trust, Verona, Italy.
Michele PavaranaDepartment of Oncology, University of Verona Hospital Trust, Verona, Italy.
Stefania GuarigliaDepartment of Medical Physics, University of Verona Hospital Trust, Verona, Italy.
Emanuele ZivelonghiDepartment of Medical Physics, University of Verona Hospital Trust, Verona, Italy.
Valentina MengardoDepartment of General and Upper G.I. Surgery, University of Verona Hospital Trust, Verona, Italy.
Jacopo WeindelmayerDepartment of General and Upper G.I. Surgery, University of Verona Hospital Trust, Verona, Italy.
Simone GiacopuzziDepartment of General and Upper G.I. Surgery, University of Verona Hospital Trust, Verona, Italy.
Giovanni de ManzoniDepartment of General and Upper G.I. Surgery, University of Verona Hospital Trust, Verona, Italy.
Carlo CavedonDepartment of Medical Physics, University of Verona Hospital Trust, Verona, Italy.
Renzo MazzarottoDepartment of Radiation Oncology, University of Verona Hospital Trust, Verona, Italy.
University of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveThe aim of this study was to assess the ability of Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography ( MATERIAL AND

methodsEsophageal carcinoma (EC) patients, treated in our Center between 2014 and 2018, were retrospectively reviewed. The nCRT protocol schedule consisted of an induction phase of weekly administered docetaxel, cisplatin, and 5-fluorouracil (TCF) for 3 weeks, followed by a concomitant phase of weekly TCF for 5 weeks with concurrent radiotherapy (50-50.4 Gy in 25-28 fractions). Three

resultsFifty-four patients (35 ADC, 19 SCC; 48 cT3/4; 52 cN+) were eligible for the analysis. Pathological response to nCRT was classified as major (TRG1-2, 41/54, 75.9%) or non-response (TRG3-4, 13/54, 24.1%). A major response was statistically correlated with SCC subtype (p = 0.02) and smaller tumor length (p = 0.03). MTV and TLG measured prior to IC (PET

conclusions

Indexed as

chemo-radiationesophageal cancerinduction chemotherapyneoadjuvant therapypathological responsepositron emission tomography metricsradiomic features

Identifiers

PMID33330097
PMCPMC7729075
OpenAlexW3108265552

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.