Evidence map›Paper›PMID 34992661›Full record

ArticleJournal of tropical medicine2021

Challenges in Laboratory Diagnosis of Malaria in a Low-Resource Country at Tertiary Care in Eastern Nepal: A Comparative Study of Conventional vs. Molecular Methodologies.

Pragyan Dahal, Basudha Khanal, Keshav Rai, Vivek Kattel, Satish Yadav, Narayan Raj Bhattarai

Open access · goldAbstract read
In one paragraph

Article in Journal of tropical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
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  6. Diagnostic accuracy ofExperimental biology and medicine (Maywood, N.J.) · 2025
    Article
  7. Article
  8. Epidemiology, Detection and Treatment of Malaria.Tropical medicine and infectious disease · 2024
    Article
  9. Loop-Mediated Isothermal Amplification for Diagnosis of Zoonotic Malaria.The American journal of tropical medicine and hygiene · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. A systematic review and meta-analysis on sub-microscopicThe Lancet regional health. Southeast Asia · 2022
    Article
  15. Deep learning for microscopic examination of protozoan parasites.Computational and structural biotechnology journal · 2022
    Review
  16. 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 1 country.

Pragyan DahalDepartment of Microbiology, B. P. Koirala Institute of Health Sciences, Dharan, Nepal.ORCID https://orcid.org/0000-0002-1778-4345
Basudha KhanalDepartment of Microbiology, B. P. Koirala Institute of Health Sciences, Dharan, Nepal.
Keshav RaiDepartment of Microbiology, B. P. Koirala Institute of Health Sciences, Dharan, Nepal.
Vivek KattelDepartment of Internal Medicine, B. P. Koirala Institute of Health Sciences, Dharan, Nepal.
Satish YadavDepartment of Pediatrics, B. P. Koirala Institute of Health Sciences, Dharan, Nepal.
Narayan Raj BhattaraiDepartment of Microbiology, B. P. Koirala Institute of Health Sciences, Dharan, Nepal.
B.P. Koirala Institute of Health Sciences · NP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For ongoing malaria elimination programmes, available methods such as microscopy and rapid diagnostic tests (RDTs) cannot detect all malaria cases in acute febrile illness. These methods are entirely dependent on the course of infection, parasite load, and skilled technical resources. Our study objectives were to estimate the performance of light microscopy and a RDT as well as real-time PCR for the detection of the

Identifiers

PMID34992661
PMCPMC8727160
OpenAlexW4200031334

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.