Evidence map›Paper›PMID 31247040›Full record

ArticlePLoS neglected tropical diseases2019

Risk of disability among adult leprosy cases and determinants of delay in diagnosis in five states of India: A case-control study.

Govindarajulu Srinivas, Thirumugam Muthuvel, Vivek Lal, Kanagasabapathy Vaikundanathan, Eva-Maria Schwienhorst-Stich, Christa Kasang

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in PLoS neglected tropical diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 4 pooled it
5.8field-weighted citation impact, top 3% 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

42 citing papers in PubMed, 4 syntheses or guidelines pooled it, 102 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 3 institutions in 2 countries.

Govindarajulu SrinivasProfessor & Head, Department of Epidemiology, The Tamil Nadu Dr. M.G.R. Medical University, Chennai, India.ORCID 0000-0003-0320-5485
Thirumugam MuthuvelEpidemiologist, Global Data Research Center, Hyderabad, India.
Vivek LalDirector-Health, German Leprosy and TB Relief Association, Kolkata, India.
Kanagasabapathy VaikundanathanRehabilitation Officer, Composite Regional Centre for Persons with Disabilities, Davanagere, India.
Eva-Maria Schwienhorst-StichDeutsche Lepra- und Tuberkulosehilfe e.V (DAHW) and Faculty of Medicine, University of Würzburg, Germany.
Christa KasangResearch Consultant, Deutsche Lepra- und Tuberkulosehilfe e.V., Wuerzburg (DAHW), Germany.
Deutsche Lepra- und Tuberkulosehilfe · DETamil Nadu Dr. M.G.R. Medical University · INUniversity of Würzburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionA high proportion of grade 2 disability (visible deformity) is indicative of delay in detection of leprosy and leprosy is one of the major causes of preventable disability. We conducted this study to determine the risk factors associated with disability (G2D and G1D) among adult new leprosy cases and to measure their strength of association.

methodsA multi-centric case-control study was undertaken in five states of India i.e. Andhra Pradesh, Delhi, Gujarat, Maharashtra and West Bengal). Among new adult patients, cases were defined as those with disability (G2D and G1D) at the time of diagnosis and controls were defined as those without any disability (G0D). Delays were quantified based on patient recall across a timeline. Patient delay defined as the time period between first noticed symptom by the patient and the first visit to any health care provider (HCP); HCP delay defined as the time period between patient's first visit to any HCP and the confirmation of diagnosis of leprosy; and total delay defined as the sum of both patient and HCP delays.

resultsA total of 1400 new leprosy patients (700 G2D/G1D and 700 G0D) across five states were interviewed. Among G2D/G1D, the median patient delay was 8 months compared with 4 months among G0D. The median HCP delay was 2 months for G2D/G1D and 1 month for G0D. The median total delay was 14 months for G2D/G1D and 6.2 months for G0D; observed median difference between groups was statistically significant (p<0.001). When patient delay was more than 3 months, odds of G2D/G1D at diagnosis were 1.6 times higher compared to when patient delay was less than 3 months. When the HCP delay was more than one month, the odds of G2D/G1D were 1.4 times higher compared to when the HCP delay was less than one month. When the patient had multi-bacillary type leprosy the odds of G2D/G1D at the time of diagnosis was nine times higher compared to pauci-bacillary type leprosy.

conclusionPatient delay is the major reason for risk of disability (G2D/G1D) among adult leprosy patients. A patient delay of more than 3 months from the notice of first symptom is a significant indicator for the disabilities among adult leprosy patients. Early case detection campaigns like active surveys in endemic spots should be done periodically as this can reduce delays and promote early diagnosis. Additionally, the program should lay greater emphasis on raising community awareness regarding the disease. Also, health care provider delay of more than 1 month have been significant risk factors for disability among adult leprosy cases. Hence, periodical capacitation of all HCPs including private practitioners would significantly contribute to reduce diagnostic delay and promote timely referral and early detection.

Indexed as

AdolescentAdultAgedAged, 80 and overCase-Control StudiesDelayed DiagnosisFemaleHumansIndiaLeprosyMaleMiddle AgedPatient Acceptance of Health CarePersons with DisabilitiesRisk FactorsTime-to-Treatment

Identifiers

PMID31247040
PMCPMC6619834
OpenAlexW2953738171

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.