Evidence map›Paper›PMID 34746289›Full record

ArticleFrontiers in veterinary science2021

Prevalence and Molecular Characterization of Cystic Echinococcosis in Livestock Population of the Malakand Division, Khyber Pakhtunkhwa, Pakistan.

Jadoon Khan, Nosheen Basharat, Salman Khan, Syed Muhammad Jamal, Sadeeq Ur Rahman, Aamer Ali Shah, Sanaullah Khan, Rehman Ali, Shahid Niaz Khan, Ijaz Ali

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Genetic characterization of human echinococcosis in Southern Punjab, Pakistan.Frontiers in cellular and infection microbiology · 2023
    Article
  9. 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

10 authors.

Jadoon KhanDepartment of Biosciences, COMSATS University, Islamabad, Pakistan.
Nosheen BasharatDepartment of Biosciences, COMSATS University, Islamabad, Pakistan.
Salman KhanDepartment of Biotechnology, University of Malakand, Chakdara, Pakistan.
Syed Muhammad JamalDepartment of Biotechnology, University of Malakand, Chakdara, Pakistan.
Sadeeq Ur RahmanCollege of Veterinary Science and Animal Husbandry, Abdul Wali Khan University, Mardan, Pakistan.
Aamer Ali ShahDepartment of Microbiology, Quaid-i-Azam University, Islamabad, Pakistan.
Sanaullah KhanDepartment of Zoology, University of Peshawar, Peshawar, Pakistan.
Rehman AliDepartment of Zoology, Faculty of Biological Sciences, Kohat University of Science and Technology, Kohat, Pakistan.
Shahid Niaz KhanDepartment of Zoology, Faculty of Biological Sciences, Kohat University of Science and Technology, Kohat, Pakistan.
Ijaz AliDepartment of Biosciences, COMSATS University, Islamabad, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cystic echinococcosis (CE) is a neglected zoonotic disease prevalent in Pakistan, but the genetic diversity of the cestode is largely unexplored in the country. This study investigated the molecular epidemiology of CE infecting the livestock population of the Malakand division, Khyber Pakhtunkhwa, Pakistan. A total of 1,200 livestock, including buffaloes, cattle, goats, and sheep, were examined for echinococcosis from November 2017-2018 at different slaughterhouses in the Malakand division. Hydatid cysts were collected from different organs, and hydatid cyst fluid (HCF) was examined microscopically and used for DNA extraction. The

Indexed as

cystic echinococcosisEchinococcus granulosusKhyber PakhtunkhwaPakistanzoonosis

Identifiers

PMID34746289
PMCPMC8567086

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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.