Evidence map›Paper›PMID 29487249›Full record

ArticleLung India : official organ of Indian Chest Society

Predictors of asthma-chronic obstructive pulmonary disease overlap syndrome in patients with chronic obstructive pulmonary disease from a tertiary care center in India.

Irfan Ismail Ayub, Abdul Majeed Arshad, Prathipa Sekar, Natraj Manimaran, Dhanasekar Thangaswamy, Chandrasekar Chockalingam

Open access · diamondAbstract read
In one paragraph

Article in Lung India : official organ of Indian Chest Society. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 7 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

6 authors at 1 institution in 1 country.

Irfan Ismail AyubDepartment of Pulmonary Medicine, Sri Ramachandra Medical College and Research Institute, Chennai, Tamil Nadu, India.
Abdul Majeed ArshadDepartment of Pulmonary Medicine, Sri Ramachandra Medical College and Research Institute, Chennai, Tamil Nadu, India.
Prathipa SekarDepartment of Pulmonary Medicine, Sri Ramachandra Medical College and Research Institute, Chennai, Tamil Nadu, India.
Natraj ManimaranDepartment of Pulmonary Medicine, Sri Ramachandra Medical College and Research Institute, Chennai, Tamil Nadu, India.
Dhanasekar ThangaswamyDepartment of Pulmonary Medicine, Sri Ramachandra Medical College and Research Institute, Chennai, Tamil Nadu, India.
Chandrasekar ChockalingamDepartment of Pulmonary Medicine, Sri Ramachandra Medical College and Research Institute, Chennai, Tamil Nadu, India.
Sri Ramachandra Institute of Higher Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is dearth of literature on asthma-chronic obstructive pulmonary disease overlap syndrome (ACOS) in India. The aim was to compare clinical characteristics between patients with ACOS and non-ACOS COPD and to identify clinical predictors of ACOS in patients with COPD.

methodsWe conducted a retrospective study by reviewing data collected from patients performing spirometry at our hospital. Those with postbronchodilator FEV

resultsOut of a total of 324 patients, 100 of them had postbronchodilator FEV

conclusionOur study highlights how the ACOS phenotype may clinically differ from their counterparts elsewhere, making it a clinical challenge to identify them in India.

Indexed as

Asthma chronic obstructive pulmonary disease overlap syndromechronic obstructive pulmonary diseasesignificant post bronchodilator reversibility

Identifiers

PMID29487249
PMCPMC5846263
OpenAlexW2947205818

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.