Evidence map›Paper›PMID 37662206›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Analytic optimization of

Zena Lapp, Elizabeth Freedman, Kathie Huang, Christine F Markwalter, Andrew A Obala, Wendy Prudhomme-O'Meara, Steve M Taylor

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Zena LappDuke Global Health Institute, Duke University, Durham, NC, USA.
Elizabeth FreedmanDivision of Infectious Diseases, School of Medicine, Duke University, Durham, NC, USA.
Kathie HuangDivision of Infectious Diseases, School of Medicine, Duke University, Durham, NC, USA.
Christine F MarkwalterDuke Global Health Institute, Duke University, Durham, NC, USA.
Andrew A ObalaSchool of Medicine, College of Health Sciences, Moi University, Eldoret, Kenya.
Wendy Prudhomme-O'MearaDuke Global Health Institute, Duke University, Durham, NC, USA.
Steve M TaylorDuke Global Health Institute, Duke University, Durham, NC, USA.
Duke University · USMoi University · KE

Funding

Once bitten: A longitudinal, observational study of successful malaria parasite transmission events between humans and mosquitosR01AI146849 · NIAID · DUKE UNIVERSITY · PI PRUDHOMMEOMEARA, WENDY, TAYLOR, STEVE MYER · 2019 to 2023
$3.0M
Synthesizing immunoinformatics and genetic epidemiology to identify signatures of natural functional immunity to malaria parasitesK01AI175527 · NIAID · DUKE UNIVERSITY · PI Christine Markwalter · 2023 to 2026
$486k
NIAID NIH HHS K01 AI175527NIAID NIH HHS R01 AI146849
6 · The paper itself

Abstract

Molecular epidemiologic studies of malaria parasites commonly employ amplicon deep sequencing (AmpSeq) of marker genes derived from dried blood spots (DBS) to answer public health questions related to topics such as transmission and drug resistance. As these methods are increasingly employed to inform direct public health action, it is important to rigorously evaluate the risk of false positive and false negative haplotypes derived from clinically-relevant sample types. We performed a control experiment evaluating haplotype recovery from AmpSeq of 5 marker genes (

Identifiers

PMID37662206
PMCPMC10473802
OpenAlexW4386100286

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.