Evidence map›Paper›PMID 32627174›Full record

ArticleBritish journal of haematology2020

Rapid diagnosis of hereditary haemolytic anaemias using automated rheoscopy and supervised machine learning.

Pedro L Moura, Johannes G G Dobbe, Geert J Streekstra, Minke A E Rab, Martijn Veldthuis, Elisa Fermo, Richard van Wijk, Rob van Zwieten, Paola Bianchi, Ashley M Toye and 1 more

Abstract readLetter
PubMed Full text at PMC Publisher
In one paragraph

Article in British journal of haematology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

11 authors.

Pedro L MouraSchool of Biochemistry, University of Bristol, Biomedical Sciences Building, University Walk, Bristol, BS8 1TD, UK.ORCID 0000-0002-0493-5394
Johannes G G DobbeDepartment of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Geert J StreekstraDepartment of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Minke A E RabDepartment of Clinical Chemistry and Haematology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Martijn VeldthuisDepartment of Blood Cell Research, Amsterdam, The Netherlands.
Elisa FermoUOC Ematologia, UOS Fisiopatologia delle Anemie, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy.
Richard van WijkDepartment of Clinical Chemistry and Haematology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Rob van ZwietenDepartment of Blood Cell Research, Amsterdam, The Netherlands.
Paola BianchiUOC Ematologia, UOS Fisiopatologia delle Anemie, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy.ORCID 0000-0001-5976-5233
Ashley M ToyeSchool of Biochemistry, University of Bristol, Biomedical Sciences Building, University Walk, Bristol, BS8 1TD, UK.ORCID 0000-0003-4395-9396
Timothy J SatchwellSchool of Biochemistry, University of Bristol, Biomedical Sciences Building, University Walk, Bristol, BS8 1TD, UK.ORCID 0000-0003-0590-292X

Funding

Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico 2019Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico 2019 175/02National Institute for Health Research Blood and Transplant Research Unit IS-BTU-1214-10032NHS Blood and Transplant WP15-05
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Supervised Machine LearningAnemia, Hemolytic, CongenitalAnemia, Hemolytic, Congenital NonspherocyticAutomationBlood ViscosityDatasets as TopicErythrocyte DeformabilityErythrocytes, AbnormalHumansHydrops FetalisImage Processing, Computer-AssistedPyruvate KinasePyruvate Metabolism, Inborn ErrorsReticulocytesSingle-Cell AnalysisPyruvate Kinase

Identifiers

PMID32627174
PMCPMC8221027

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.