Evidence map›Paper›PMID 34917023›Full record

ArticleFrontiers in endocrinology2021

Structured Reporting of Computed Tomography in the Staging of Neuroendocrine Neoplasms: A Delphi Consensus Proposal.

Vincenza Granata, Francesca Coppola, Roberta Grassi, Roberta Fusco, Salvatore Tafuto, Francesco Izzo, Alfonso Reginelli, Nicola Maggialetti, Duccio Buccicardi, Barbara Frittoli and 21 more

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
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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

31 authors.

Vincenza GranataDivision of Radiology, "Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli", Naples, Italy.
Francesca CoppolaDepartment of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Roberta GrassiItalian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, Milan, Italy.
Roberta FuscoMedical Oncology Division, Igea SpA, Napoli, Italy.
Salvatore TafutoMedical Oncology Unit, Istituto Nazionale Tumori IRCCS 'Fondazione G. Pascale', Naples, Italy.
Francesco IzzoDepartment of Surgery, Istituto Nazionale Tumori -IRCCS- Fondazione G. Pascale, Naples, Italy.
Alfonso ReginelliDivision of Radiology, "Università degli Studi della Campania Luigi Vanvitelli", Naples, Italy.
Nicola MaggialettiRadiodiagnostics Section, DSMBNOS, "Aldo Moro" University, Bari, Italy.
Duccio BuccicardiImaging Department, San Paolo Hospital, Savona, Italy.
Barbara FrittoliDepartment of Radiology, Ospedali Civili, Hospital of Brescia, University of Brescia, Brescia, Italy.
Marco RengoDepartment of Radiological Sciences, Oncology and Pathology, Sapienza University of Rome - I.C.O.T. Hospital, Latina, Italy.
Chandra BortolottoDepartment of Radiology, I.R.C.C.S. Policlinico San Matteo Foundation, Pavia, Italy.
Roberto ProstRadiology Unit, Azienda Ospedaliera Brotzu, Cagliari, Italy.
Giorgia Viola LacasellaDivision of Radiology, "Università degli Studi della Campania Luigi Vanvitelli", Naples, Italy.
Marco MontellaDivision of Radiology, "Università degli Studi della Campania Luigi Vanvitelli", Naples, Italy.
Eleonora CiaghiResearch and Development, Exprivia Spa, Bari, Italy.
Francesco BellifemineResearch and Development, Exprivia Spa, Bari, Italy.
Federica De MuzioDepartment of Medicine and Health Sciences "V. Tiberio", University of Molise, Campobasso, Italy.
Ginevra DantiDivision of Radiology, "Azienda Ospedaliera Universitaria Careggi", Florence, Italy.
Giulia GrazziniDivision of Radiology, "Azienda Ospedaliera Universitaria Careggi", Florence, Italy.
Massimo De FilippoDepartment of Medicine and Surgery, Unit of Radiology, University of Parma, Maggiore Hospital, Parma, Italy.
Salvatore CappabiancaDivision of Radiology, "Università degli Studi della Campania Luigi Vanvitelli", Naples, Italy.
Carmelo BarresiDiagnostic Imaging Section, Department of Medical and Surgical Sciences & Neurosciences, Siena University Hospital, Siena, Italy.
Franco IafrateDepartment of Radiological, Oncological and Pathological Sciences, Policlinico Umberto I, Sapienza University of Rome, Rome, Italy.
Luca Pio StoppinoRadiology Department, University of Foggia, Foggia, Italy.
Andrea LaghiDepartment of Surgical and Medical Sciences and Translational Medicine, Sapienza University of Rome-Sant'Andrea University Hospital, Rome, Italy.
Roberto GrassiItalian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, Milan, Italy.
Luca BruneseDepartment of Medicine and Health Sciences "V. Tiberio", University of Molise, Campobasso, Italy.
Emanuele NeriItalian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, Milan, Italy.
Vittorio MieleItalian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, Milan, Italy.
Lorenzo FaggioniDepartment of Translational Research, University of Pisa, Pisa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Structured reporting (SR) in radiology is becoming increasingly necessary and has been recognized recently by major scientific societies. This study aims to build structured CT-based reports in Neuroendocrine Neoplasms during the staging phase in order to improve communication between the radiologist and members of multidisciplinary teams. Materials and Methods: A panel of expert radiologists, members of the Italian Society of Medical and Interventional Radiology, was established. A Modified Delphi process was used to develop the SR and to assess a level of agreement for all report sections. Cronbach's alpha (Cα) correlation coefficient was used to assess internal consistency for each section and to measure quality analysis according to the average inter-item correlation. Results: The final SR version was built by including n=16 items in the "Patient Clinical Data" section, n=13 items in the "Clinical Evaluation" section, n=8 items in the "Imaging Protocol" section, and n=17 items in the "Report" section. Overall, 54 items were included in the final version of the SR. Both in the first and second round, all sections received more than a good rating: a mean value of 4.7 and range of 4.2-5.0 in the first round and a mean value 4.9 and range of 4.9-5 in the second round. In the first round, the Cα correlation coefficient was a poor 0.57: the overall mean score of the experts and the sum of scores for the structured report were 4.7 (range 1-5) and 728 (mean value 52.00 and standard deviation 2.83), respectively. In the second round, the Cα correlation coefficient was a good 0.82: the overall mean score of the experts and the sum of scores for the structured report were 4.9 (range 4-5) and 760 (mean value 54.29 and standard deviation 1.64), respectively. Conclusions: The present SR, based on a multi-round consensus-building Delphi exercise following in-depth discussion between expert radiologists in gastro-enteric and oncological imaging, derived from a multidisciplinary agreement between a radiologist, medical oncologist and surgeon in order to obtain the most appropriate communication tool for referring physicians.

Indexed as

AdultConsensusDelphi TechniqueHumansNeoplasm StagingNeuroendocrine TumorsTomography, X-Ray Computedcomputed tomographyneuroendocrine neoplasmradiology reportstagingstructured report

Identifiers

PMID34917023
PMCPMC8670531

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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.