Article in Journal of cardiac failure, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
0numbers the graph read from it
0cells of the map it votes in
3citing 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.
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.
Allan J WalkeyDepartment of Medicine, Division of Pulmonary, Allergy and Critical Care, Center for Implementation and Improvement Sciences, Boston University School of Medicine. Electronic address: alwalkey@bu.edu.
Meng-Shiou ShiehInstitute for Healthcare Delivery and Population Science and Department of Medicine, University of Massachusetts Medical School - Baystate, Springfield MA; Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA USA. Electronic address: Meng-Shiou.Shieh@baystatehealth.org.
Penelope PekowInstitute for Healthcare Delivery and Population Science and Department of Medicine, University of Massachusetts Medical School - Baystate, Springfield MA; Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA USA. Electronic address: Penelope.pekow@baystatehealth.org.
Tara LaguInstitute for Healthcare Delivery and Population Science and Department of Medicine, University of Massachusetts Medical School - Baystate, Springfield MA; Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA USA. Electronic address: tara.lagu@baystatehealth.org.
Peter K LindenauerInstitute for Healthcare Delivery and Population Science and Department of Medicine, University of Massachusetts Medical School - Baystate, Springfield MA; Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA USA. Electronic address: peter.lindenauer@baystatehealth.org.
Funding
Automated detection and prediction of atrial fibrillation during sepsisR01HL136660 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WALKEY, ALLAN J. · 2017 to 2020
$2.2M
Atrial Fibrillation in Sepsis: Patient Outcomes and Provider Practice PatternsK01HL116768 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WALKEY, ALLAN J. · 2013 to 2017
$742k
Research and Mentoring in Comparative Effectiveness and Implementation ScienceK24HL132008 · NHLBI · BAYSTATE MEDICAL CENTER, INC. · PI LINDENAUER, PETER KYLE · 2016 to 2020
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.
Changing Heart Failure Coding Practices and Hospital Risk-Standardized Mortality Rates. · full record | OpenQuestion