Evidence map›Paper›PMID 31724068›Full record

ReviewParasitology research2019

Comparative genomics: how has it advanced our knowledge of cryptosporidiosis epidemiology?

Yingying Fan, Yaoyu Feng, Lihua Xiao

Abstract readReview
PubMed Publisher
In one paragraph

Review in Parasitology research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% of its field
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Current tropical medicine reports · 2024
    Review
  6. Article
  7. An update onJournal of parasitic diseases : official organ of the Indian Society for Parasitology · 2022
    Review
  8. Article
  9. Review
  10. An Update on ZoonoticAnimals : an open access journal from MDPI · 2021
    Review
  11. Review
  12. Article
  13. Article
  14. 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

3 authors at 1 institution in 1 country.

Yingying FanCollege of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, Guangdong, China.
Yaoyu FengCollege of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, Guangdong, China. yyfeng@scau.edu.cn.
Lihua XiaoCollege of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, Guangdong, China. lxiao@scau.edu.cn.ORCID http://orcid.org/0000-0001-8532-2727
South China Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole genomic sequencing (WGS) and comparative genomics are increasingly used in the characterization of Cryptosporidium spp. They are facilitated by the establishment of procedures for WGS analysis of clinical specimens without laboratory propagation of pathogens. Results of recent comparative genomics analysis suggest that gene duplication might be associated with broad host ranges of some zoonotic Cryptosporidium species and subtypes, while genetic recombination could be involved in the emergence of virulent subtypes. The availability of WGS data has further facilitated the development of advanced molecular typing tools. The use of these tools together with comparative genomics analyses has begun to improve the investigations of outbreaks in industrialized nations. More WGS data, however, are needed from both industrialized nations and developing countries before we can have in-depth understanding of the population genetics and evolution of Cryptosporidium spp. and genetic determinants of various phenotypic traits in human-pathogenic subtypes.

Indexed as

GenomicsAnimalsCryptosporidiosisCryptosporidiumGenome, ProtozoanGenotypeHost SpecificityHumansMolecular EpidemiologyVirulenceComparative genomicsCryptosporidiumEpidemiologyWhole genome sequencing

Identifiers

PMID31724068
OpenAlexW2988104819

What OpenQuestion holds

Textmetadata
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.