Evidence map›Paper›PMID 42180363›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Estimation of Physiological Metrics from Resting ECGs Using Deep Learning in the UK Biobank, Including submaximal exercise derived

Isabelle Mankowski, Elias Pinter, I-Min Lee, Gunnar Rätsch, David Brüggemann, Olga V Demler

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 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

6 authors.

Isabelle MankowskiDepartment of Computer Science, ETH Zürich, Switzerland.
Elias PinterDepartment of Computer Science, ETH Zürich, Switzerland.
I-Min LeeDivision of Preventive Medicine, Brigham and Women's Hospital / Harvard Medical School, Boston, MA, USA.
Gunnar RätschDepartment of Computer Science, ETH Zürich, Switzerland.
David BrüggemannSwiss Data Science Center, EPFL, Switzerland.
Olga V DemlerDepartment of Computer Science, ETH Zürich, Switzerland.ORCID 0000-0003-3355-3210

Funding

CHD Risk and Metabolomic Profiles of Discordant LipidsK01HL135342 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI DEMLER, OLGA · 2017 to 2021
$857k
Consensus Framework for Cardiovascular Risk Prediction in a Clinical SettingR21HL167173 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI DEMLER, OLGA · 2023 to 2024
$269k
NHLBI NIH HHS K01 HL135342NHLBI NIH HHS R21 HL167173
6 · The paper itself

Abstract

Maximal oxygen consumption (

Indexed as

Cardiorespiratory FitnessDeep LearningECGPatient Contrastive Learning of RepresentationsUK BiobankVO2max

Identifiers

PMID42180363
PMCPMC13193095

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.