Evidence map›Paper›PMID 30013530›Full record

ArticleFrontiers in microbiology2018

Endosymbionts Alter Larva-to-Nymph Transstadial Transmission of

Lan-Hua Li, Yi Zhang, Dan Zhu, Xiao-Nong Zhou

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2018. 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
1.8field-weighted citation impact, top 15% 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, 22 citations in OpenAlex.

  1. The Prevalence ofFrontiers in veterinary science · 2021
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Parasitology · 2024
    Article
  6. Article
  7. Review
  8. High diversity ofFrontiers in microbiology · 2022
    Article
  9. Phylogenetic Studies ofFrontiers in veterinary science · 2022
    Article
  10. Article
  11. Approaches to Integrated Parasite Management (IPM) forPathogens (Basel, Switzerland) · 2021
    Review
  12. Article
  13. Current debates and advances in tick microbiome research.Current research in parasitology & vector-borne diseases · 2021
    Review
  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

4 authors at 2 institutions in 1 country.

Lan-Hua LiSchool of Public Health and Management, Weifang Medical University, Weifang, China.
Yi ZhangKey Laboratory of Parasite and Vector Biology, Ministry of Health, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, China.
Dan ZhuKey Laboratory of Parasite and Vector Biology, Ministry of Health, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, China.
Xiao-Nong ZhouKey Laboratory of Parasite and Vector Biology, Ministry of Health, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, China.
National Institute for Parasitic Diseases · CNWeifang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maternally inherited endosymbionts inhabit a variety of arthropods. Some of them can protect the arthropod host against a wide range of pathogens. However, very little is known about the association between endosymbionts and pathogen susceptibility in ticks. The present study investigated the effect of endosymbionts on larva-to-nymph transstadial transmission of

Indexed as

Babesia microtiCoxiellaendosymbiontRhipicephalus haemaphysaloidesRickettsiatransmission capacity

Identifiers

PMID30013530
PMCPMC6036257
OpenAlexW2810306457

What OpenQuestion holds

Textmetadata
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.