Evidence map›Paper›PMID 39668927›Full record

ReviewIndian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine

Seropositivity of Chikungunya in Hospital Setting, India: A Systematic Review and Meta-Analysis.

Ramya Nagarajan, Lavanya Ayyasamy, Parasuraman Ganeshkumar, Saravanakumar Velusamy, Manoj Murhekar

Abstract readReview
In one paragraph

Review in Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Ramya NagarajanDivision of Non-Communicable Disease, Indian Council of Medical Research- National Institute of Epidemiology, Chennai, Tamil Nadu, India.
Lavanya AyyasamyDivision of Non-Communicable Disease, Indian Council of Medical Research- National Institute of Epidemiology, Chennai, Tamil Nadu, India.
Parasuraman GaneshkumarDivision of Non-Communicable Disease, Indian Council of Medical Research- National Institute of Epidemiology, Chennai, Tamil Nadu, India.
Saravanakumar VelusamyDivision of Infectious Disease and Epidemiology, Indian Council of Medical Research- National Institute of Epidemiology, Chennai, Tamil Nadu, India.
Manoj MurhekarDivision of Infectious Disease and Epidemiology, Indian Council of Medical Research- National Institute of Epidemiology, Chennai, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Backround: Information about the chikungunya disease burden by age groups and geographic distribution is necessary to guide appropriate control measures. With this, we conducted a systematic review and meta-analysis to estimate the disease burden of chikungunya fever in India. Material and Methods: We conducted this systematic review according to the Cochrane Collaboration guidelines. We retrieved relevant articles from PubMed and a free online search. Two investigators screened titles and abstracts and extracted data from the relevant articles. Our primary outcome is the proportion of laboratory-confirmed Chikungunya fever among clinically suspected patients. We used a random effect model to estimate the pooled proportion of Chikungunya fever. Result: A total of 20 articles were included in the quantitative syntheses. The pooled proportion of laboratory-confirmed chikungunya fever from 20 studies estimated using the random effects model is 24% (95%CI: 15-34%). We found the pooled proportion in the southern region was 35% (95%CI: 4-66%), 28% (95%CI: 3-58%) in the western region, 24% (95%CI: 1-48%) in the eastern region, 20% (95%CI: 12-29%) in the northern region, and 4% (95%CI: 1-6%) in North-eastern region. Conclusion: This review emphasizes the need to strengthen the surveillance of disease burden using multiple diagnostic tests and the need for an appropriate molecular diagnostic for early detection of the chikungunya virus.

Indexed as

Chikungunyameta-analysisproportionsero-positivitysystematic review

Identifiers

PMID39668927
PMCPMC11633274

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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.