Evidence map›Paper›PMID 29780624›Full record

ArticleJournal of thoracic disease2018

Diagnostic performance of fluorine-18 fluorodeoxyglucose positron emission tomography in the management of solitary pulmonary nodule: a meta-analysis.

Duilio Divisi, Mirko Barone, Luca Bertolaccini, Gino Zaccagna, Francesca Gabriele, Roberto Crisci

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Diagnosis value ofBMC medical imaging · 2023
    Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Diagnostic Performance of Machine Learning Models Based onMolecular imaging and radionuclide therapy · 2022
    Article
  6. Article
  7. Article
  8. Prone position [European radiology · 2021
    Article
  9. Contribution ofMolecular imaging and radionuclide therapy · 2021
    Article
  10. Review
  11. 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

6 authors.

Duilio DivisiThoracic Surgery Unit, University of L'Aquila, "G. Mazzini" Hospital, Teramo Italy.
Mirko BaroneThoracic Surgery Unit, University of L'Aquila, "G. Mazzini" Hospital, Teramo Italy.
Luca BertolacciniMorgagni Teacning Hospital, Bologna, Italy.
Gino ZaccagnaThoracic Surgery Unit, University of L'Aquila, "G. Mazzini" Hospital, Teramo Italy.
Francesca GabrieleThoracic Surgery Unit, University of L'Aquila, "G. Mazzini" Hospital, Teramo Italy.
Roberto CrisciThoracic Surgery Unit, University of L'Aquila, "G. Mazzini" Hospital, Teramo Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the setting of solitary pulmonary nodules (SPNs), fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography (

methodsA computerized research, including published articles from 2012 and 2017, was carried out.

resultsA total of twelve studies were included in the meta-analysis. The pooled Se, Spe, PLR, NLR, PPV, NPV and accuracy index (AI) with relative 95% confidence intervals (CI) were 0.819 (95% CI: 0.794-0.843), 0.624 (95% CI: 0.582-0.665), 2.190 (95% CI: 1.950-2.440), 0.290 (95% CI: 0.250-0.330), 0.802 (95% CI: 0.783-0.819), 0.652 (95% CI: 0.618-0.684) and 0.649 (95% CI: 0.625-0.673), respectively. The diagnostic odds ratio (DOR) was 7.049 with a relative 95% CI between 5.550 and 8.944.

conclusionsThe results suggest

Indexed as

Fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG-PET/CT)lung cancersolitary pulmonary nodules (SPNs)

Identifiers

PMID29780624
PMCPMC5945698

What OpenQuestion holds

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Registered trials

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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.