Evidence map›Paper›PMID 31255614›Full record

ArticleThe Annals of thoracic surgery2019

Cardiac Biomarkers Predict Long-term Survival After Cardiac Surgery.

Niveditta Ramkumar, Jeffrey P Jacobs, Richard B Berman, Devin M Parker, Todd A MacKenzie, Donald S Likosky, Anthony DiScipio, David J Malenka, Jeremiah R Brown

Abstract readMulticenter Study
In one paragraph

Article in The Annals of thoracic surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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

9 authors.

Niveditta RamkumarThe Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, New Hampshire.
Jeffrey P JacobsDivision of Cardiovascular Surgery, Johns Hopkins All Children's Hospital, Tampa, Florida.
Richard B BermanThe Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, New Hampshire.
Devin M ParkerThe Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, New Hampshire.
Todd A MacKenzieThe Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, New Hampshire.
Donald S LikoskyDepartment of Cardiac Surgery, University of Michigan Medical School, Ann Arbor, Michigan.
Anthony DiScipioSection of Cardiology, Department of Surgery, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.
David J MalenkaSection of Cardiology, Department of Surgery, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.
Jeremiah R BrownThe Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, New Hampshire; Department of Epidemiology, Geisel School of Medicine, Hanover, New Hampshire; Department of Biomedical Data Science, Geisel School of Medicine, Hanover, New Hampshire. Electronic address: jeremiah.r.brown@dartmouth.edu.

Funding

Novel Biomarkers to Predict Readmission in Pediatric and Adult Heart SurgeryR01HL119664 · NHLBI · DARTMOUTH COLLEGE · PI BROWN, JEREMIAH R · 2014 to 2017
$3.2M
NHLBI NIH HHS R01 HL119664
6 · The paper itself

Abstract

backgroundCardiac biomarkers soluble ST-2 (sST-2) and N-terminal prohormone B-type natriuretic peptide (NT-proBNP) may be associated with long-term survival after cardiac surgery. This study explored the relationship between long-term survival after cardiac surgery and serum biomarker levels.

methodsPatients undergoing cardiac surgery from 2004 to 2007 were enrolled in a prospective biomarker cohort in the Northern New England Cardiovascular Disease Study Group Registry. Preoperative serum biomarker levels, postoperative serum biomarker levels, and the change in serum biomarker levels were categorized by quartile. The study used Kaplan-Meier survival analysis and Cox regression models adjusted for variables in the American College of Cardiology Foundation-Society of Thoracic Surgeons Collaboration on the Comparative Effectiveness of Revascularization Strategy (ASCERT) long-term survival calculator to study the association of biomarker levels with long-term survival. After Kaplan-Meier analysis, quartiles 2 and 3 were found to have similar survival and were therefore combined into 1 category.

resultsIn the study cohort (n = 1648), median follow-up time was 8.5 years (interquartile range, 7.6-9.7 years), during which there were 227 deaths. The 10-year survival rate was 86%. Kaplan-Meier survival analysis demonstrated a significant (P < .001) difference across quartiles of each biomarker level measurement. After adjustment, preoperative levels, postoperative levels, and the change in biomarker levels in quartile 4 (highest serum levels or change) were significantly predictive of worse survival (hazard ratio range, 1.77-2.89; all P < .05) compared with quartile 1; however, levels of sST-2 and NT-proBNP in quartiles 2 and 3 demonstrated a nonstatistically significant trend with long-term survival.

conclusionsElevated preoperative and postoperative levels of sST-2 or NT-proBNP and large changes in these biomarkers' levels are associated with an increased risk of worse survival after cardiac surgery. These biomarkers can be used for risk stratification or assessing postsurgical prognosis.

Indexed as

Cardiac Surgical ProceduresForecastingAgedBiomarkersFemaleFollow-Up StudiesHospital MortalityHumansInterleukin-1 Receptor-Like 1 ProteinMaleMiddle AgedNatriuretic Peptide, BrainPeptide FragmentsPostoperative PeriodProspective StudiesProtein PrecursorsBiomarkersIL1RL1 protein, humanInterleukin-1 Receptor-Like 1 ProteinNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)Protein PrecursorsReceptors, Interleukin-1

Identifiers

PMID31255614
PMCPMC6878121

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Registered trials

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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.