Evidence map›Paper›PMID 38504153›Full record

SynthesisBMC anesthesiology2024

Red blood cell transfusion in neurocritical patients: a systematic review and meta-analysis.

Yun Yu, Yuxuan Fu, Wenying Li, Tiantian Sun, Chan Cheng, Yingzi Chong, Ruquan Han, Weihua Cui

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC anesthesiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 pooled it
4.0field-weighted citation impact, top 5% of its field
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

9 citing papers in PubMed, 3 syntheses or guidelines pooled it, 18 citations in OpenAlex.

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

8 authors at 5 institutions in 1 country.

Yun Yu *Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, No. 119, Southwest 4th Ring Road, Fengtai District, Beijing, 100070, PR China.
Yuxuan Fu *Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, No. 119, Southwest 4th Ring Road, Fengtai District, Beijing, 100070, PR China.
Wenying LiDepartment of Anesthesiology, Tsinghua University Yuquan Hospital, 5 Shijingshan Rd, Shijingshan District, Beijing, PR China.
Tiantian SunDepartment of Anesthesiology, Beijing Anzhen Hospital, Capital Medical University, 2 Anzhen Road, Beijing, PR China.
Chan ChengDepartment of Anesthesiology, Beijing Stomatological Hospital Affiliated to Capital Medical University, No.4 Tiantan Xili, Dongcheng District, Beijing, 100050, PR China.
Yingzi ChongDepartment of Anaesthesiology, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, PR China.
Ruquan Han *Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, No. 119, Southwest 4th Ring Road, Fengtai District, Beijing, 100070, PR China.
Weihua Cui *Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, No. 119, Southwest 4th Ring Road, Fengtai District, Beijing, 100070, PR China. weihuacui@ccmu.edu.cn.
Capital Medical University · CNBeijing Anzhen Hospital · CNBeijing Shijingshan Hospital · CNBeijing Tian Tan Hospital · CNFirst Affiliated Hospital of Soochow University · CN

Funding

Bethune Charitable Foundation No. bnmr-2022-006Research project of education and teaching reform No. 2022JYY228Undergraduate research and innovation project No. XSKY2023297
6 · The paper itself

Abstract

backgroundAnemia can lead to secondary brain damage by reducing arterial oxygen content and brain oxygen supply. Patients with acute brain injury have impaired self-regulation. Brain hypoxia may also occur even in mild anemia. Red blood cell (RBC) transfusion is associated with increased postoperative complications, poor neurological recovery, and mortality in critically ill neurologic patients. Balancing the risks of anemia and red blood cell transfusion-associated adverse effects is challenging in neurocritical settings.

methodsWe searched the Cochrane Central Register of Controlled Trials (CENTRAL), Embase, and MEDLINE (PubMed) from inception to January 31, 2024. We included all randomized controlled trials (RCTs) assessing liberal versus restrictive RBC transfusion strategies in neurocritical patients. We included all relevant studies published in English. The primary outcome was mortality at intensive care unit (ICU), discharge, and six months.

resultsOf 5195 records retrieved, 84 full-text articles were reviewed, and five eligible studies were included. There was no significant difference between the restrictive and liberal transfusion groups in ICU mortality (RR: 2.53, 95% CI: 0.53 to 12.13), in-hospital mortality (RR: 2.34, 95% CI: 0.50 to 11.00), mortality at six months (RR: 1.42, 95% CI: 0.42 to 4.78) and long-term mortality (RR: 1.22, 95% CI: 0.64 to 2.33). The occurrence of neurological adverse events and most major non-neurological complications was similar in the two groups. The incidence of deep venous thrombosis was lower in the restrictive strategy group (RR: 0.41, 95% CI: 0.18 to 0.91).

conclusionsDue to the small sample size of current studies, the evidence is insufficiently robust to confirm definitive conclusions for neurocritical patients. Therefore, further investigation is encouraged to define appropriate RBC transfusion thresholds in the neurocritical setting.

Indexed as

Critical IllnessErythrocyte TransfusionAnemiaBrain InjuriesHospital MortalityHumansRandomized Controlled Trials as TopicMeta-analysisNeurocriticalRed blood cell transfusionSystematic review

Identifiers

PMID38504153
PMCPMC10949741
OpenAlexW4392964370

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.