Evidence map›Paper›PMID 31722678›Full record

ArticleBMC infectious diseases2019

Diagnostic tools used in the evaluation of acute febrile illness in South India: a scoping review.

Divyalakshmi Bhaskaran, Sarabjit Singh Chadha, Sanjay Sarin, Rajashree Sen, Sonia Arafah, Sabine Dittrich

Registry-linked trialOpen access · goldAbstract readScoping Review
In one paragraph

Article in BMC infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04673487 (Comparative Study of Commercially Available Typhoid Point of Care Tests to Benchmark Current and Emerging Tools), which is not on this map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.4field-weighted citation impact, top 6% 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.

NCT04673487 unknown statusnot on this mapstarted 2021, after this paper: background citation

Comparative Study of Commercially Available Typhoid Point of Care Tests to Benchmark Current and Emerging Tools

TypeobservationalSponsorKenya Medical Research InstituteRan2021 to 2021Enrolled2,000ConditionsTyphoid FeverArms1. SD Bioline Salmonella Typhi IgG/IgM Fast test, 2. Typhidot Rapid IgG/IgM combo test, 3. TUBEX TF test, 4.Typhoid IgG/IgM Combo Rapid Test CE, 5. Enterocheck WB test, 6. Test-itTM Typhoid IgM test
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Dengue and leptospirosis coinfection: a case series.Journal of medical case reports · 2024
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Observational
  14. Article
  15. Review
  16. An Update on the Laboratory Diagnosis ofPathogens (Basel, Switzerland) · 2021
    Review
  17. Article
  18. 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

6 authors at 1 institution in 2 countries.

Divyalakshmi BhaskaranFoundation for Innovative New Diagnostics (FIND), Geneva, Switzerland. divyarohit916@gmail.com.ORCID http://orcid.org/0000-0002-4262-5143
Sarabjit Singh ChadhaFoundation for Innovative New Diagnostics (FIND), New Delhi, India.
Sanjay SarinFoundation for Innovative New Diagnostics (FIND), New Delhi, India.
Rajashree SenFoundation for Innovative New Diagnostics (FIND), New Delhi, India.
Sonia ArafahFoundation for Innovative New Diagnostics (FIND), Geneva, Switzerland.
Sabine DittrichFoundation for Innovative New Diagnostics (FIND), Geneva, Switzerland.
FIND · CH

Funding

Department for International Development, UK Government Not applicableDepartment for International Development, UK Government Not Applicable
6 · The paper itself

Abstract

backgroundAcute febrile illness (AFI) is characterized by malaise, myalgia and a raised temperature that is a nonspecific manifestation of infectious diseases in the tropics. The lack of appropriate diagnostics for the evaluation of AFI leads to increased morbidity and mortality in resource-limited settings, specifically low-income countries like India. The review aimed to identify the number, type and quality of diagnostics used for AFI evaluation during passive case detection at health care centres in South India.

methodsA scoping review of peer-reviewed English language original research articles published between 1946-July 2018 from four databases was undertaken to assess the type and number of diagnostics used in AFI evaluation in South India. Results were stratified according to types of pathogen-specific tests used in AFI management.

resultsThe review included a total of 40 studies, all conducted in tertiary care centres (80% in private settings). The studies demonstrated the use of 5-22 tests per patient for the evaluation of AFI. Among 25 studies evaluating possible causes of AFI, 96% tested for malaria followed by 80% for dengue, 72% for scrub typhus, 68% for typhoid and 60% for leptospirosis identifying these as commonly suspected causes of AFI. 54% studies diagnosed malaria with smear microscopy while others diagnosed dengue, scrub typhus, typhoid and leptospirosis using antibody or antigen detection assays. 39% studies used the Weil-Felix test (WFT) for scrub typhus diagnosis and 82% studies used the Widal test for diagnosing typhoid.

conclusionsThe review demonstrated the use of five or more pathogen-specific tests in evaluating AFI as well as described the widespread use of suboptimal tests like the WFT and Widal in fever evaluation. It identified the need for the development of better-quality tests for aetiological diagnosis and improved standardised testing guidelines for AFI.

Indexed as

AntibodiesAntigensCommunicable DiseasesDengueHumansIndiaLeptospirosisMalariaScrub TyphusTertiary Care CentersAntibodiesAntigensAcute febrile illnessDengueDiagnosticsDiagnostic testsFeverInfectious diseasesLeptospirosisMalariaScrub typhusTestsTyphoid

Identifiers

PMID31722678
PMCPMC6854686
OpenAlexW2986889560

What OpenQuestion holds

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Registered trials

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.