Evidence map›Paper›PMID 38132182›Full record

ArticleeLife2023

A computational method for predicting the most likely evolutionary trajectories in the stepwise accumulation of resistance mutations.

Ruth Charlotte Eccleston, Emilia Manko, Susana Campino, Taane G Clark, Nicholas Furnham

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Ruth Charlotte EcclestonDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID 0000-0002-1905-7942
Emilia MankoDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Susana CampinoDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Taane G ClarkDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID 0000-0001-8985-9265
Nicholas FurnhamDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID 0000-0002-7532-1269
University of London · GB

Funding

Biotechnology and Biological Sciences Research Council BB/R013063/1Medical Research Council MR/M01360X/1Medical Research Council MR/N010469/1Medical Research Council MR/R020973/1Medical Research Council MR/R025576/1Medical Research Council MR/T000171/1
6 · The paper itself

Abstract

Pathogen evolution of drug resistance often occurs in a stepwise manner via the accumulation of multiple mutations that in combination have a non-additive impact on fitness, a phenomenon known as epistasis. The evolution of resistance via the accumulation of point mutations in the DHFR genes of

Indexed as

AntimalarialsDrug ResistanceEvolution, MolecularMutationPlasmodium falciparumPoint MutationPyrimethamineTetrahydrofolate DehydrogenaseAntimalarialsPyrimethamineTetrahydrofolate Dehydrogenaseantimicrobial resistanceepistasisevolutionary biologyinfectious diseasemicrobiologypathogen evolutionP. falciparumP. vivax

Identifiers

PMID38132182
PMCPMC10807863
OpenAlexW4390104785

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.