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Low versus high haemoglobin concentration threshold for blood transfusion for preventing morbidity and mortality in very low birthweight infants

2025· review· en· W4417257927 on OpenAlexaff
Chad Andersen, Michael J. Stark, Tara M. Crawford, Robin K. Whyte, Axel R. Franz, Roger F. Soll, Haresh Kirpalani

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2025
Typereview
Languageen
FieldMedicine
TopicBlood transfusion and management
Canadian institutionsMcMaster University Medical CentreDalhousie University
Fundersnot available
KeywordsBlood transfusionContext (archaeology)Confidence intervalRed Blood Cell TransfusionMeta-analysisSignificant differenceClinical trialRandomized controlled trial

Abstract

fetched live from OpenAlex

BACKGROUND: Infants of very low birthweight frequently receive red blood cell transfusions during their primary hospital stay. Generally, this is guided by predetermined haemoglobin or haematocrit thresholds according to a protocol or as prompted by clinical situations, including critical illness or surgery. Recommendations advocate maintaining higher thresholds in the early weeks when the risk of major morbidity is highest, while permitting lower thresholds after this time. In truth, clinicians worry about the potential effect of chronic anaemia on neurodevelopmental outcomes, as well as the risk of transfusion-related complications in the immature host. Clinical trials have reflected this practice by comparing haemoglobin levels adjusted for critical illness, comparing transfusion algorithms that use fixed differences between haemoglobin thresholds, with both thresholds progressively lowered across postnatal age. This is an update of a review first published in 2011. OBJECTIVES: To evaluate the effect of lower (restrictive) compared with higher (liberal) haemoglobin thresholds for transfusion, with or without adjustment for age and critical illness with either fixed or variable transfusion volume, on mortality or later neurodevelopmental outcomes assessed in later infancy at approximately two years postmenstrual age, or the number of transfusions in very low birthweight infants. SEARCH METHODS: Searches were conducted in January 2024 in CENTRAL, MEDLINE, Embase, CINAHL, Epistemonikos, and trial registries. We searched the reference lists of related systematic reviews and trials. SELECTION CRITERIA: We selected randomised controlled trials (RCTs) of lower or restrictive haemoglobin/haematocrit thresholds compared with liberal or higher haemoglobin/haematocrit thresholds for transfusion in low birthweight infants within three days of birth. DATA COLLECTION AND ANALYSIS: We used standard Cochrane methods. Our main outcomes were a combined outcome of death or neurodevelopmental impairment, all-cause mortality, and the number of transfusions per infant. We expressed our results using mean difference (MD), standardised mean difference (SMD), risk ratio (RR), and risk difference (RD) with 95% confidence intervals (CIs). We used GRADE to assess the certainty of evidence. MAIN RESULTS: = 84%; 6 studies, 3451 infants; low-certainty evidence). AUTHORS' CONCLUSIONS: The trials comparing lower or restrictive versus higher or liberal haemoglobin thresholds for transfusion show little to no difference in important outcomes at hospital discharge and at the time of later neurodevelopmental follow-up. The use of restrictive, as compared to liberal, haemoglobin or haematocrit transfusion thresholds in these trials in infants of very low birthweight results in modest reductions in transfusion exposure and haemoglobin levels. The safety of haemoglobin levels below these lower limits has not been evaluated and should only be considered in the context of randomised controlled trials.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.030
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.030
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.006
Bibliometrics0.0040.004
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.091
GPT teacher head0.381
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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