Evidence map›Paper›PMID 38157316›Full record

ReviewJournal of medical entomology2024

All insects matter: a review of 160 entomology cases from 1993 to 2007 in Switzerland-part I (Diptera).

Jiri Hodecek, Luca Fumagalli, Pavel Jakubec

Abstract readReview
In one paragraph

Review in Journal of medical entomology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

3 authors.

Jiri HodecekSwiss Human Institute of Forensic Taphonomy, University Centre of Legal Medicine, Lausanne, Switzerland.ORCID 0000-0002-4744-0412
Luca FumagalliSwiss Human Institute of Forensic Taphonomy, University Centre of Legal Medicine, Lausanne, Switzerland.ORCID 0000-0002-6648-2570
Pavel JakubecDepartment of Ecology, Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Suchdol, Czech Republic.ORCID 0000-0001-7340-5496

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Necrophagous Diptera are the most important group of insects used for the purposes of forensic entomology. While the most utilized fly family in this context is the family Calliphoridae, there are several other families that can be of great importance during real-case investigations. This article analyzes the necrophagous flies of all families recorded from 160 real cases in Switzerland between 1993 and 2007. A total of 56 species belonging to 16 families was identified with Calliphoridae being the most dominant family (90.63% of all cases), followed by Muscidae (26.25%), Sarcophagidae (19.38%), Phoridae (14.38%), and Fanniidae (12.50%). For specimens that were difficult to identify morphologically, a new PCR primer has been specifically designed for the amplification of a short, informative COI barcode in degraded museum samples of forensically important Diptera taxa. The richest family in terms of species was the family Muscidae with 16 species. Fannia fuscula (Fallen) and Fannia monilis (Haliday) were recorded from human cadavers for the first time. The study highlights the importance of different fly families in forensic investigation, enhancing our comprehension of their prevalence and dispersion in real cases in Central Europe. The results pave the way for additional exploration, especially regarding the involvement of less frequently observed species in forensic entomology.

Indexed as

DipteraMuscidaeSarcophagidaeAnimalsCalliphoridaeEntomologyHumansSwitzerlandchecklistforensic entomologynecrophagous Dipterareal casesspecies composition

Identifiers

PMID38157316
PMCPMC10936168

What OpenQuestion holds

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Registered trials

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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.