Evidence map›Paper›PMID 30847409›Full record

ArticleParasite epidemiology and control2019

Detection of circulating antigens for

James M Akoko, Ewan MacLeod, Lian F Thomas, Pablo Alarcon, Erastus Kang'ethe, Velma Kivali, Dishon Muloi, Patrick Muinde, Maurice K Murungi, Julius M Gachoya and 1 more

Open access · goldAbstract read
In one paragraph

Article in Parasite epidemiology and control, 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
2.0field-weighted citation impact, top 14% 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, 20 citations in OpenAlex.

  1. Pooled it
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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

11 authors at 8 institutions in 2 countries.

James M AkokoInternational Livestock Research Institute, Nairobi, Kenya.
Ewan MacLeodDivision of Infection and Pathway Medicine, Deanery of Biomedical Sciences, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK.
Lian F ThomasInternational Livestock Research Institute, Nairobi, Kenya.
Pablo AlarconRoyal Veterinary College, University of London, London, UK.
Erastus Kang'etheUniversity of Nairobi, Nairobi, Kenya.
Velma KivaliInternational Livestock Research Institute, Nairobi, Kenya.
Dishon MuloiInternational Livestock Research Institute, Nairobi, Kenya.
Patrick MuindeInternational Livestock Research Institute, Nairobi, Kenya.
Maurice K MurungiInternational Livestock Research Institute, Nairobi, Kenya.
Julius M GachoyaDirectorate of Veterinary Services, State Department of Livestock, Ministry of Agriculture, Livestock and Fisheries, P.O Private Bag, Kangemi 00625, Nairobi, Kenya.
Eric M FèvreInternational Livestock Research Institute, Nairobi, Kenya.
University of London · GBUniversity of Liverpool · GBCentre for Immunity, Infection and Evolution · GBInternational Livestock Research Institute · KEMaseno University · KEMinistry of Agriculture Livestock and Fisheries · KEUniversity of Edinburgh · GBUniversity of Nairobi · KE

Funding

Biotechnology and Biological Sciences Research Council BB/L019019/1Medical Research Council G1100783
6 · The paper itself

Abstract

BACKGROUND &

methods

resultsThe prevalence, adjusted for diagnostic test characteristics, was estimated to be 4.4% (95% CI: 1.9-7.1) with no significant statistical difference by pig sex or age. Infection with

conclusionsCirculating antigens of

Indexed as

EpidemiologyFood safetyKenyaPorcine cysticercosisTaenia spp.Value chain

Identifiers

PMID30847409
PMCPMC6378851
OpenAlexW2914903688

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.