Evidence map›Paper›PMID 28932562›Full record

ArticleJournal of thoracic disease2017

Standardized uptake value and radiological density attenuation as predictive and prognostic factors in patients with solitary pulmonary nodules: our experience on 1,592 patients.

Duilio Divisi, Mirko Barone, Luca Bertolaccini, Gaetano Rocco, Piergiorgio Solli, Roberto Crisci, Italian VATS Group

Open access · hybridAbstract read
In one paragraph

Article in Journal of thoracic disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 28 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

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 BertolacciniThoracic Surgery Unit, ASL Romagna, Forlì, Italy.
Gaetano RoccoThoracic Surgery Unit, National Cancer Institute Pascale Foundation, Napoli, Italy.
Piergiorgio SolliThoracic Surgery Unit, ASL Romagna, Forlì, Italy.
Roberto CrisciThoracic Surgery Unit, University of L'Aquila, "G. Mazzini" Hospital, Teramo, Italy.
Italian VATS Group
University of L'Aquila · ITASL Roma · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultislice computed tomography (MSCT) increased detection of solitary pulmonary nodules (SPNs), changing the management based on radiological and clinical factors. When 18-fluorine fluorodeoxyglucose positron emission tomography combined with computed tomography (

methodsA retrospective study on 1,592 SPN patients was carried out following approval by the Italian Registry of VATS Lobectomies.

resultsAll patients underwent VATS lobectomy. On histologic examination, 98.1% had primary or second metachronous primary lung cancers. In addition, 10.7% presented occult lymph node metastases (pN1 or pN2) on histological examination. Nodule attenuation on CT was associated with the histology of the lesion (p= 0.030); in particular, pure ground glass opacities (pGGOs) and partially solid nodules were related to adenocarcinomatous histotypes. Conversely, a significant relationship between SUVmax and age, nodule size, pathological node status (pN) was found (P=0.007, P=0.000 and P=0.002 respectively).

conclusionsNodule attenuation can predict the histology of the lesion whereas SUVmax may relate to the propensity to lymph node metastases.

Indexed as

ground glass opacitieslung adenocarcinomalymph node metastasesmaximum standardized uptake valueSolitary pulmonary nodule (SPN)

Identifiers

PMID28932562
PMCPMC5594188
OpenAlexW2744107053

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.