Evidence map›Paper›PMID 42542858›Full record

SynthesisPeerJ2026

A comprehensive systematic review of sarcoptic mange diagnostic methods in wildlife.

Chandni Sengupta, Julie M Old

Abstract readSystematic Review
In one paragraph

Synthesis in PeerJ, 2026. 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
–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

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

2 authors.

Chandni SenguptaSchool of Science, University of Western Sydney, Hawkesbury, Penrith, New South Wales, Australia.
Julie M OldSchool of Science, University of Western Sydney, Hawkesbury, Penrith, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sarcoptic mange is a parasitic contagious disease that can lead to significant declines in wildlife populations. To identify the most used methods for diagnosing mange in free-ranging wildlife species, a systematic review was conducted across multiple databases: Scopus, PubMed, Web of Science, ProQuest Central and CABI. Citation screening was performed using the web-based platform, Covidence. A customized data extraction form, developed by the authors, was used to collect relevant information. This information was later exported and analyzed using Microsoft Excel. The objectives of this systematic review were to identify the most used detection methods for sarcoptic mange in wildlife globally over the past 30 years, classify them into invasive and non-invasive categories and provide an updated overview of related adjunct techniques and the broader scientific literature on mange detection and documentation in free-ranging animals. A total of 228 studies were analyzed and categorized into two groups-non-invasive and invasive methods. Non-invasive methods (visual observation, camera trapping, spotlighting, detector dogs and infrared thermography) do not require restraining of animals. Invasive methods (skin scraping, molecular diagnosis using mite isolation and polymerase chain reaction (PCR), serological diagnosis using Enzyme Linked ImmunoSorbent Assay (ELISA), histological analysis and immunohistochemistry) typically require taking samples from the animals and clinical or laboratory infrastructure. Across all diagnostic methods, visual observation was the most widely used technique, followed by skin scraping as the second most frequently applied method for confirming sarcoptic mange. Non-invasive approaches like spotlighting and camera traps provided valuable population-level insights without direct animal contact, though laboratory methods such as PCR, ELISA, and histological analysis offered greater accuracy at higher costs. We recommend a combined approach, starting with non-invasive methods to assess overall population health before using invasive techniques on selected animals for definitive diagnosis, with advanced technologies expected to enhance long-range detection capabilities in the future.

Indexed as

Animals, WildScabiesAnimalsSarcoptes scabieiDiagnosisELISAFree-rangingHistological analysisMange scoringPCRSarcoptes scabieiSkin scrapingSpotlightingVisual observation

Identifiers

PMID42542858
PMCPMC13428544

What OpenQuestion holds

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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.