Evidence map›Paper›PMID 35110233›Full record

ArticleTurkish thoracic journal2021

Esophageal Dilatation as a Predictor of Systemic Sclerosis in Patients with Interstitial Lung Disease.

Ana Filipa Santos Duarte de Figueiredo, João Felício Costa, António P Matos, Miguel Ramalho

Open access · diamondAbstract read
In one paragraph

Article in Turkish thoracic journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 8 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

4 authors at 1 institution in 1 country.

Ana Filipa Santos Duarte de FigueiredoDepartment of Radiology, Hospital Garcia de Orta, Almada, Portugal.
João Felício CostaDepartment of Radiology, Hospital Garcia de Orta, Almada, Portugal.
António P MatosDepartment of Radiology, Hospital Garcia de Orta, Almada, Portugal.
Miguel RamalhoDepartment of Radiology, Hospital Garcia de Orta, Almada, Portugal.
Hospital Garcia de Orta · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the predictive value of esophageal dilatation as observed in high-resolution computed tomography (HRCT) for the diagnosis of systemic sclerosis (SSc) in patients with interstitial lung disease (ILD).

methodsOur sample consisted of patients diagnosed with SSc and proven interstitial lung involvement with available HRCT exams (n = 20). Individuals with other forms of rheumatic ILD were included as a control group (n = 20). Two blinded radiologists independently reviewed the images for the presence of esophageal dilatation, measured at 3 different levels. Interobserver agreement was tested with Lin's concordance correlation coefficient (CCC). Independent t-test was used to compare maximum esophageal diameters between groups. Friedman's test was used to evaluate differences between the 3-level measurements. Receiver operating characteristic analysis was performed.

resultsThere was a substantial correlation between both readers (CCC = 0.9802-0.9919). Esophageal dilatation was significantly associated with SSc (P = .0012). The optimal calculated cut-off value to differentiate SSc from other ILDs was 18.5 mm (sensitivity and specificity of 70 and 90%, respectively; area under the curve 0.819), measured 1 cm above the diaphragmatic hiatus.

conclusionHRCT may have a discriminative role in the presence of both ILD and esophageal dilatation for the diagnosis of SSc. Our results suggest that a cut-off value for the esophageal diameter of 18.5 mm might propose the diagnosis of SSc with reasonable confidence.

Identifiers

PMID35110233
PMCPMC8975317
OpenAlexW3168295042

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.