Evidence map›Paper›PMID 37417009›Full record

ArticleAnnals of African medicine

Spectrum of high-resolution computed tomography pattern in lungs in patients with connective tissue disorders.

Maheswar Chaudhury, E Hari Kishore, Likhitha Lingam, Adya Kinkar Panda

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In one paragraph

Article in Annals of African medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Maheswar ChaudhuryDepartment of Radiodiagnosis, IMS and SUM Hospital, SOA Deemed to be University, Bhubaneswar, Odisha, India.
E Hari KishoreDepartment of Radiodiagnosis, IMS and SUM Hospital, SOA Deemed to be University, Bhubaneswar, Odisha, India.
Likhitha LingamDepartment of Radiodiagnosis, IMS and SUM Hospital, SOA Deemed to be University, Bhubaneswar, Odisha, India.
Adya Kinkar PandaDepartment of Radiodiagnosis, IMS and SUM Hospital, SOA Deemed to be University, Bhubaneswar, Odisha, India.
Institute of Medical Sciences and Sum Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Connective tissue disease associated with interstitial lung disease, or CT-ILD, is a lung condition that affects a large number of patients with a connective tissue disease. Objective: Our aim in this study is to correlation between images of high-resolution computed tomography (HRCT) of different connective tissue diseases associated interstitial lung diseases (CTD-ILDs). Methods: We shall be aiming to investigate the feasibility of HRCT imaging and thereby avoid lung biopsy in such patients. Results: Rheumatoid arthritis predominantly presented with usual interstitial pneumonia (UIP) (47.8%), followed by nonspecific interstitial pneumonia (NSIP) (30.4%). Mixed connective tissue disorder predominantly presented with NSIP and UIP (42.8%), followed by organizing pneumonia (OP) (14.2%). Systemic lupus erythematosus predominantly presented with UIP (38.8%), followed by NSIP (27.7%). Sjogren's syndrome predominantly presented with lymphocytic interstitial pneumonia (40%), followed by UIP (26.6%). Scleroderma predominantly presented with UIP (45.4%), followed by NSIP (36.4%). Sarcoidosis predominantly presented with UIP (75%), followed by NSIP (25%). Dermatomyositis predominantly presented with NSIP (50%), followed by UIP and OP each (25%). Conclusion: Both clinicians and radiologists should be aware of the expected evolution of HRCT changes in a variety of CT-ILDs.

Indexed as

Connective Tissue DiseasesIdiopathic Pulmonary FibrosisLung Diseases, InterstitialConnective TissueHumansLungRetrospective StudiesTomography, X-Ray ComputedConnective tissueCT-ILDshigh-resolution computed tomographyinterstitial lung

Identifiers

PMID37417009
PMCPMC10445716
OpenAlexW4376863615

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.