Evidence map›Paper›PMID 37056644›Full record

ReviewJournal of arthropod-borne diseases2022

Scabies as a Neglected Tropical Disease in Iran: A Systematic Review with Meta-Analysis, during 2000-2022.

Mehdi Khoobdel, Shahyad Azari-Hamidian, Ahmad Ali Hanafi-Bojd, Hasan Bakhshi, Amirsajad Jafari, Mohammad Moradi

Abstract readReview
In one paragraph

Review in Journal of arthropod-borne diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
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  5. 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.

Mehdi KhoobdelHealth Research Center, Lifestyle Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Shahyad Azari-HamidianResearch Center of Health and Environment, School of Health, Guilan University of Medical Sciences, Rasht, Iran.
Ahmad Ali Hanafi-BojdDepartment of Medical Entomology and Vector Control, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Hasan BakhshiVector-borne Diseases Research Center, North Khorasan University of Medical Sciences, Bojnurd, Iran.
Amirsajad JafariDepartment of Basic Sciences, School of Veterinary Medicine, Shiraz University, Shiraz, Iran.
Mohammad MoradiHealth Research Center, Lifestyle Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Scabies is referred to the infestation of skin by an ectoparasite, Methods: Google Scholar, PubMed, Scopus, Science Direct, Scientific Information Database (SID), Sci-explore, Civilica, Magiran, Iranian Research Institute for Information Science and Technology and Elmnet databases were searched to find the related data in the time period within 2000-2022. To have a better insight into the status of prevalence of scabies in Iran, a meta-analysis and meta-regression was performed. Results: A total of 943 relevant studies were retrieved from the databases, and 62 eligible studies met all the needed criteria for inclusion in this systematic review. Scabies was investigated and reported in at least 22 and 21 provinces of Iran respectively. Most of the studies were conducted in Tehran, Razavi Khorasan, Hormozgan, Fars and Guilan Provinces. Positive samples of scabies belonged to humans, sheep, goats, dogs, rabbits, mice and gazelles. Meta-analysis showed that the overall estimated presence of scabies in Iran during 2000-2022 was 7% (95% CI 4.7-10.3%, P< 0.001). Conclusion: Infestations due to

Indexed as

EctoparasitesIranSarcoptes scabieiSarcoptosisScabies

Identifiers

PMID37056644
PMCPMC10086448

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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.