Evidence map›Paper›PMID 39714935›Full record

SynthesisNEJM evidence2025

Restrictive versus Liberal Transfusion in Myocardial Infarction - A Patient-Level Meta-Analysis.

Jeffrey L Carson, Dean A Fergusson, Helaine Noveck, Ranjeeta Mallick, Tabassome Simon, Sunil V Rao, Howard Cooper, Simon J Stanworth, Gerard T Portela, Gregory Ducrocq and 13 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in NEJM evidence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Review
  5. Managing bleeds on anticoagulant therapy: a practical guide for clinicians.European heart journal. Acute cardiovascular care · 2026
    Review
  6. Article
  7. Article
  8. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors.

Jeffrey L CarsonDepartment of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey.
Dean A FergussonClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa.
Helaine NoveckDepartment of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey.
Ranjeeta MallickClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa.
Tabassome SimonFACT (French Alliance for Cardiovascular Trials), Paris.
Sunil V RaoDepartment of Medicine, NYU Langone Health System, New York.
Howard CooperDepartment of Medicine, Westchester Medical Center, Valhalla, New York.
Simon J StanworthDepartment of Haematology, Oxford University Hospitals NHS Trust, NHSBT, University of Oxford, Oxford, United Kingdom.
Gerard T PortelaDepartments of Epidemiology and Biostatistics, School of Public Health, University of Pittsburgh, Pittsburgh.
Gregory DucrocqFACT (French Alliance for Cardiovascular Trials), Paris.
Marnie BertoletDepartments of Epidemiology and Biostatistics, School of Public Health, University of Pittsburgh, Pittsburgh.
Andrew P DeFilippisDepartment of Medicine, Vanderbilt University Medical Center, Nashville.
Andrew M GoldsweigDepartment of Medicine, Baystate Medical Center, Springfield, Massachusetts.
Sarang KimDepartment of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey.
Darrell J TriulziDepartment of Pathology, Division of Transfusion Medicine, University of Pittsburgh School of Medicine, Pittsburgh.
Mark A MenegusDepartment of Medicine, Montefiore Medical Center, New York.
J Dawn AbbottLifespan Cardiovascular Institute and Department of Medicine, Division of Cardiology, Alpert Medical School of Warren Alpert Medical School, Brown University, Providence, Rhode Island.
Renato D LopesDuke Clinical Research Institute, Duke University, Durham, North Carolina.
Maria Mori BrooksDepartments of Epidemiology and Biostatistics, School of Public Health, University of Pittsburgh, Pittsburgh.
John H AlexanderDuke Clinical Research Institute, Duke University, Durham, North Carolina.
Paul C HébertBuyere Research Institute, University of Ottawa, Ottawa, Ontario.
Shaun G GoodmanSt. Michael's Hospital, Unity Health Toronto and Peter Munk Cardiac Centre, University Health Network, University of Toronto, Toronto, Ontario.
P Gabriel StegFACT (French Alliance for Cardiovascular Trials), Paris.

Funding

Myocardial Ischemia and Transfusion (MINT) - CCCU01HL133817 · NHLBI · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI CARSON, JEFFREY LEE · 2016 to 2022
$17.1M
Myocardial Ischemia and Transfusion (MINT) - DCCU01HL132853 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BROOKS, MARIA MORI · 2016 to 2022
$4.1M
Individual Patient Data Meta-Analysis of Red Blood Cell Transfusion Trials Comparing Liberal versus Restrictive ThresholdsR01HL171977 · NHLBI · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI Jeffrey Lee Carson · 2024 to 2026
$1.7M
NHLBI NIH HHS R01 HL171977NHLBI NIH HHS U01 HL132853NHLBI NIH HHS U01 HL133817
6 · The paper itself

Abstract

backgroundClinical guidelines have concluded that there are insufficient data to provide recommendations for the hemoglobin threshold for the use of red cell transfusion in patients with acute myocardial infarction (MI) and anemia. After the recent publication of the Myocardial Infarction and Transfusion (MINT) trial, we performed an individual patient-level data meta-analysis to evaluate the effect of restrictive versus liberal blood transfusion strategies.

methodsWe conducted searches in major databases. Eligible trials randomly assigned patients with MI and anemia to either a restrictive (i.e., transfusion threshold of 7-8 g/dl) or liberal (i.e., transfusion threshold of 10 g/dl) red cell transfusion strategy. We used individual patient data from each trial. The primary outcome was a composite of 30-day mortality or MI.

resultsWe included 4311 patients from four trials. The primary outcome occurred in 334 patients (15.4%) in the restrictive strategy and 296 patients (13.8%) in the liberal strategy (relative risk [RR] 1.13, 95% confidence interval [CI], 0.97 to 1.30). Death at 30 days occurred in 9.3% of patients in the restrictive strategy and in 8.1% of patients in the liberal strategy (RR 1.15, 95% CI, 0.95 to 1.39). Cardiac death at 30 days occurred in 5.5% of patients in the restrictive strategy and in 3.7% of patients in the liberal strategy (RR 1.47, 95% CI, 1.11 to 1.94). Heart failure (RR 0.89, 95% CI, 0.70 to 1.13) was similar in the transfusion strategies. All-cause mortality at 6 months occurred in 20.5% of patients in the restrictive strategy compared with 19.1% of patients in the liberal strategy (hazard ratio 1.08, 95% CI, 1.05 to 1.11).

conclusionsPooling individual patient data from four trials did not find a definitive difference in our primary composite outcome of MI or death at 30 days. At 6 months, a restrictive transfusion strategy was associated with increased all-cause mortality. (Partially funded by a grant from the U.S. National Heart, Lung, and Blood Institute [R01HL171977].).

Indexed as

AnemiaBlood TransfusionErythrocyte TransfusionMyocardial InfarctionHemoglobinsHumansRandomized Controlled Trials as TopicHemoglobins

Identifiers

PMID39714935
PMCPMC12367329

What OpenQuestion holds

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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.