Evidence map›Paper›PMID 40444175›Full record

ArticleFrontiers in insect science2025

Molecular identification of immature stages of medically important fly species, Puducherry, South India: a preliminary study.

Sudha Bhuvaneshwaran, Visa Shalini Padmanaban, Ranjana Devi Radja, Gayathri Anandan, Shakila Venkatesan, Janani Semalaiyappan, Ashwani Kumar, Vijesh Sreedhar Kuttiatt

Abstract read
In one paragraph

Article in Frontiers in insect science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Management of myiasis in advanced head and neck cancers: a comprehensive review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Review
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.

Sudha Bhuvaneshwaran *ICMR - Vector Control Research Centre, Puducherry, India.
Visa Shalini Padmanaban *ICMR - Vector Control Research Centre, Puducherry, India.
Ranjana Devi RadjaICMR - Vector Control Research Centre, Puducherry, India.
Gayathri AnandanICMR - Vector Control Research Centre, Puducherry, India.
Shakila VenkatesanICMR - Vector Control Research Centre, Puducherry, India.
Janani SemalaiyappanICMR - Vector Control Research Centre, Puducherry, India.
Ashwani KumarICMR - Vector Control Research Centre, Puducherry, India.
Vijesh Sreedhar KuttiattICMR - Vector Control Research Centre, Puducherry, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flies and maggots are of medical importance, and it is often necessary to identify them at species level. Conventionally, this is carried out based on morphological features using taxonomic keys. However, identification of maggots based on morphology is difficult and required entomological expertise is often lacking in clinical settings. Molecular methods can be an alternative to morphology-based identification and find special application when only tiny pieces of specimens are available especially in cases of human myiasis. In this preliminary study, we explored the utility of mitochondrial COI gene based molecular method, for identifying immature stages of certain medically important flies captured from the field in Puducherry, India. Maggots were captured from different locations in Puducherry using rotten fish and kitchen waste as baits and a 700 bp segment of the COI gene was amplified and genetic relationship was assessed by performing haplotype network analysis. High quality sequences were available for 11 specimens and were subjected to BLAST analysis to identify matches from the database for identification of the species. The identified maggots belonged to

Indexed as

DNA barcodinghaplotype analysismaggotsmitochondrial cytochrome oxidase subunit I (COI)molecular methods

Identifiers

PMID40444175
PMCPMC12119495

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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.