Evidence map›Paper›PMID 31086515›Full record

ArticlePakistan journal of medical sciences

Non-specific impairment of Lung Function on Spirometery in Patients with Chronic Hepatitis-C.

Faisal Faiyaz Zuberi, Bader Faiyaz Zuberi, Tazeen Rasheed, Zunaira Nawaz

Open access · goldAbstract read
In one paragraph

Article in Pakistan journal of medical sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 52% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
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.

Faisal Faiyaz ZuberiFaisal Faiyaz Zuberi, FCPS (Med), FCPS (Pulmo). Ojha Institute of Chest Diseases Dow University of Health Sciences, Karachi, Pakistan.
Bader Faiyaz ZuberiBader Faiyaz Zuberi, FCPS. Dow Medical College Dow University of Health Sciences, Karachi, Pakistan.
Tazeen RasheedTazeen Rasheed, FCPS. Dow Medical College Dow University of Health Sciences, Karachi, Pakistan.
Zunaira NawazZunaira Nawaz, FCPS. Dow Medical College Dow University of Health Sciences, Karachi, Pakistan.
Dow University of Health Sciences · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo document frequency of non-specific impairment of lung functions (NILF) in patients of HCV and to compare according to gender, genotype, liver fibrosis score and smoking status.

methodsPatients of chronic hepatitis C were included after informed consent. Demographic data was recorded, and they underwent baseline investigations, fibroscan, abdominal ultrasound and PFT. Patients were segregated on basis of gender, fibroscan stages and smoking status. NILF was labelled if any two of three criteria are fulfilled (a) FVC < 80% of Predicted, (b) FEV1 < 80% Predicted, (c) FEV1/FVC ≥ 70.

resultsTwo hundred thirty four patients were of chronic HCV who fulfilled the selection criteria were inducted in study. These included 49.6% males and 50.4% females. There were 15.0% smokers, 16.2% were ex-smokers while 68.8% were never smokers. NILF was present in 130 (55.6%) out of which 61.5% were female and 38.5% were male (p <0.001), its presence in smokers was 56.2% and in never smokers was 55.3% (p=0.507). Presence of NILF increased with Fibroscan stages from F1 to F4 (p <0.001).

conclusionsNILF pattern on spirometry with normal chest radiograph is common among HCV patients. It was found more common in females and frequency increased progressively with fibro scan stages.

Indexed as

Hepatitis CInterstitial pulmonary diseaseNon-specific impairment of lung functionSpirometery

Identifiers

PMID31086515
PMCPMC6500828
OpenAlexW2918362459

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.