Evidence map›Paper›PMID 26487874›Full record

ArticleJournal of research in medical sciences : the official journal of Isfahan University of Medical Sciences2015

Significance of pulmonary nodules in multi-detector computed tomography scan of noncancerous patients.

Ali Toghiani, Atoosa Adibi, Arash Taghavi

Abstract read
In one paragraph

Article in Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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3 · Its place in the literature

Who cites it

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

  1. Pooled it
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Ali ToghianiYoung Researchers and Elite Club, Islamic Azad University, Najafabad Branch, Isfahan, Iran.
Atoosa AdibiDepartment of Radiology, Isfahan University of Medical Sciences, Isfahan, Iran.
Arash TaghaviDepartment of Radiology, Isfahan University of Medical Sciences, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComputed tomography (CT) scan is one the most useful devices in chest imaging. CT scan can be used in mediastinal abnormality, lungs, and pleural evaluations. According to the high prevalence and different causes of pulmonary nodules, we designed this study to evaluate the prevalence and the types of pulmonary nodules in noncancerous patients who underwent chest multi-detector CT (MDCT) scan. MATERIALS AND

methodsThis was a cross-sectional study which was in our hospital to evaluate the prevalence of pulmonary nodules in noncancerous patients who underwent MDCT. A checklist was used for data collection containing number, location, size, and shape of pulmonary nodules if present in CT scan, and we also included patient's age and history of smoking. We analyzed the data with Statistical Program for Social Sciences software (version 18).

resultsIn this study, 115 patients (40%) had a pulmonary nodule. The mean number of a total nodule in each patient was 0.8 ± 0.07. Mean number of intra-parenchymal, sub pleural, and perivascular nodules were 0.34 ± 0.04, 0.31 ± 0.04, and 0.14 ± 0.02, respectively. The mean number of calcified nodules was 0.13 ± 0.02. There was no significant correlation between age and nodule characteristics (P > 0.05).

conclusionThe prevalence of pulmonary nodules was quite frequent in MDCT scan of noncancerous cases. So, it should not be overvalued in noncancerous cases.

Indexed as

Solitary pulmonary nodulethoraxtomography X-ray computed

Identifiers

PMID26487874
PMCPMC4590200

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