Evidence map›Paper›PMID 34322187›Full record

ArticlePolish journal of radiology2021

Lung density analysis using quantitative computed tomography in children with pectus excavatum.

Fatma C Sarioglu, Naciye S Gezer, Huseyin Odaman, Orkun Sarioglu, Oktay Ulusoy, Oguz Ates, Handan Guleryuz

Open access · diamondAbstract read
In one paragraph

Article in Polish journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
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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.

Fatma C SariogluDepartment of Radiology, Dokuz Eylul University School of Medicine, Izmir, Turkey.
Naciye S GezerDepartment of Radiology, Dokuz Eylul University School of Medicine, Izmir, Turkey.
Huseyin OdamanDepartment of Radiology, Dokuz Eylul University School of Medicine, Izmir, Turkey.
Orkun SariogluDepartment of Radiology, Izmir Democracy University School of Medicine, Izmir, Turkey.
Oktay UlusoyDepartment of Pediatric Surgery, Dokuz Eylul University School of Medicine, Izmir, Turkey.
Oguz AtesDepartment of Pediatric Surgery, Dokuz Eylul University School of Medicine, Izmir, Turkey.
Handan GuleryuzDepartment of Radiology, Dokuz Eylul University School of Medicine, Izmir, Turkey.
Dokuz Eylül University · TRİzmir Demokrasi Üniversitesi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the mean lung density in children with pectus excavatum (PE) and to assess the correlation between the cardiac rotation angle, Haller index, pulmonary function test, and lung density. MATERIAL AND

methodsThis retrospective study included 33 children with PE and 31 healthy controls. The densities of lung parenchyma were evaluated by quantitative computed tomography (CT). Three lung levels were determined: T4 vertebra level, T10 vertebra level, and the level of the measurement of the cardiac rotation angle. The cardiac rotation angle and the Haller index were calculated. All measurements were done by 2 radiologists, independently. Student's

resultsAll the lung levels in the PE group had lower mean densities than healthy children, with statistical significance in the right lung at the T10 vertebra level (-818.60 ± 33.49 HU, -798.45 ± 40.24 HU;

conclusionsThe lower mean lung densities were found in PE, especially in the right lower lobe. The parenchymal aeration should be considered independently from the severity of PE.

Indexed as

Haller indexlung densitypaediatricpectus excavatumquantitative computed tomography

Identifiers

PMID34322187
PMCPMC8297483
OpenAlexW3179701012

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.