Evidence map›Paper›PMID 33677417›Full record

ArticleEuropean journal of radiology2021

Chest CT in COVID-19 patients: Structured vs conventional reporting.

Arnaldo Stanzione, Andrea Ponsiglione, Renato Cuocolo, Mariateresa Rumolo, Marika Santarsiere, Riccardo Scotto, Giulio Viceconte, Massimo Imbriaco, Simone Maurea, Luigi Camera and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in European journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Observational
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Arnaldo StanzioneDepartment of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.
Andrea PonsiglioneDepartment of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.
Renato CuocoloDepartment of Clinical Medicine and Surgery, University of Naples "Federico II", Naples, Italy. Electronic address: renato.cuocolo@unina.it.
Mariateresa RumoloDepartment of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.
Marika SantarsiereDepartment of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.
Riccardo ScottoDepartment of Clinical Medicine and Surgery, University of Naples "Federico II", Naples, Italy.
Giulio ViceconteDepartment of Clinical Medicine and Surgery, University of Naples "Federico II", Naples, Italy.
Massimo ImbriacoDepartment of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.
Simone MaureaDepartment of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.
Luigi CameraDepartment of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.
Ivan GentileDepartment of Clinical Medicine and Surgery, University of Naples "Federico II", Naples, Italy; UNESCO Chair on Health Education and Sustainable Development, Federico II University, Naples, Italy.
Arturo BrunettiDepartment of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.
University of Naples Federico II · ITFederico II University Hospital · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess clinician satisfaction with structured (SR) and conventional (CR) radiological reports for chest CT exams in coronavirus disease 2019 (COVID-19) patients, objectively comparing both reporting strategies.

methodWe retrospectively included 68 CTs (61 patients) with COVID-19. CRs were collected from the digital database while corresponding SRs were written by an expert radiologist, including a sign checklist, severity score index and final impressions. New CRs were prepared for a random subset (n = 10) of cases, to allow comparisons in reporting time and word count. CRs were analyzed to record severity score and final impressions inclusion. A random subset of 40 paired CRs and SRs was evaluated by two clinicians to assess, using a Likert scale, readability, comprehensiveness, comprehensibility, conciseness, clinical impact, and overall quality.

resultsOverall, 19/68 (28 %) and 9/68 (13 %) of CRs included final impressions and severity score, respectively. SR writing required significantly (p < 0.001) less time (mean = 308 s; SD ± 60 s) compared to CRs (mean = 458 s; SD ± 72 s). On the other hand, word count was not significantly different (p = 0.059, median = 100 and 106, range = 106-139 and 88-131 for SRs and CRs, respectively). Both clinicians expressed significantly (all p < 0.01) higher scores for SRs compared to CRs in all categories.

conclusionsOur study supports the use of chest CT SRs in COVID-19 patients to improve referring physician satisfaction, optimizing reporting time and provide a greater amount and quality of information within the report.

Indexed as

COVID-19HumansRadiologistsRetrospective StudiesSARS-CoV-2Tomography, X-Ray ComputedConventional reportRadiology report qualityStandardizationStructured report

Identifiers

PMID33677417
PMCPMC7917443
OpenAlexW3135236103

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.