Evidence map›Paper›PMID 42352459›Full record

ArticleCancers2026

Mutational Signatures and Machine Learning for Risk Stratification of Acute Myeloid Leukaemia Based on Targeted Sequencing Data.

Heba Elhaddad, Claudia Chiriches, Shuvro Prokash Nandi, Patrick van Eijk, Amanda Gilkes, Katie Watts, Amy Houseman, Charlotte S Wilhelm-Benartzi, Oliver Gerhard Ottmann, Simon H Reed and 1 more

Abstract read
In one paragraph

Article in Cancers, 2026. 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.

No citing paper in PubMed yet.

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.

Heba ElhaddadDivision of Cancer and Genetics, Section of Haematology, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK.ORCID 0000-0002-6968-9884
Claudia ChirichesDivision of Cancer and Genetics, Section of Haematology, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK.ORCID 0000-0003-3758-1892
Shuvro Prokash NandiDivision of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK.
Patrick van EijkDivision of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK.ORCID 0000-0001-9549-555X
Amanda GilkesDivision of Cancer and Genetics, Section of Haematology, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK.ORCID 0009-0006-2236-8852
Katie WattsDivision of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK.
Amy HousemanDivision of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK.ORCID 0000-0003-0695-3331
Charlotte S Wilhelm-BenartziCentre for Trials Research, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK.
Oliver Gerhard OttmannDivision of Cancer and Genetics, Section of Haematology, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK.
Simon H ReedDivision of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK.ORCID 0000-0002-4711-0560
Martin RuthardtDivision of Cancer and Genetics, Section of Haematology, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK.ORCID 0000-0003-1021-3811

Funding

Newton Musharafa Fund non applicable
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

acute myeloid leukaemiabioinformaticsinduction chemotherapymachine learningRandom Forestrisk assessmentSMOTE balancing

Identifiers

PMID42352459
PMCPMC13297301

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.