Evidence map›Paper›PMID 38799997›Full record

ArticleMedical journal, Armed Forces India

Lyme Borreliosis, a public health concern in India: Findings of

Rina Tilak, Santosh Karade, Arun Kumar Yadav, P M P Singh, Bhaskar Shahbabu, M D Gupte, Swati Bajaj, S K Kaushik

Abstract read
In one paragraph

Article in Medical journal, Armed Forces India. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

8 authors.

Rina TilakScientist 'G', Department of Community Medicine, Armed Forces Medical College, Pune, India.
Santosh KaradeCommanding Officer, 4014 Field Hospital, C/o 56 APO, India.
Arun Kumar YadavProfessor, Department of Community Medicine, Armed Forces Medical College, Pune, India.
P M P SinghClassified Specialist (Community Medicine), Command Hospital (Southern Command), Pune, India.
Bhaskar ShahbabuOfficer Commanding, SHO, Ramgarh Cantt, India.
M D GupteFormer Director, ICMR-National Institute of Epidemiology, Chennai, Tamil Nadu, India.
Swati BajajProfessor, Department of Community Medicine, Armed Forces Medical College, Pune, India.
S K KaushikProfessor, Department of Community Medicine, Armed Forces Medical College, Pune, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lyme borreliosis is a public health concern in India. The prevalence of the disease is still undetermined with major entomological and epidemiological gaps. The present study was conducted to determine the seropositivity of Methods: A cross-sectional serosurvey was conducted in Sikkim and Arunachal Pradesh. Data collection tools were developed and standardized for the collection of clinico-socio-demographic data. Sample size for each site was calculated using the formula for the estimation of a single proportion. Qualitative detection of IgG antibodies in serum samples was done using NovaLisa™ Lyme Borrelia IgG ELISA kit. Results: A total of 793 participants were enrolled, 484 (61%) from Arunachal Pradesh and 309 (39%) from Sikkim. Out of 793 participants, 21 (2.7%), 22 (2.8%), 6 (0.8%), 29 (3.7%), 44 (5.5%), and 16 (2.1%) gave history of tick bite, rash, Conclusion: This study establishes the state of Sikkim as a new endemic area in India of Lyme disease besides its already reported endemicity in Arunachal Pradesh. No association was conclusively established between symptoms of Lyme and IgG seropositivity emphasizing the need for detailed history taking and clinical suspicion in endemic areas.

Indexed as

Borrelia burgdorferiErythema migransLyme borreliosisSerosurveysTick

Identifiers

PMID38799997
PMCPMC11117054

What OpenQuestion holds

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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.