Evidence map›Paper›PMID 38758384›Full record

SynthesisNeurosurgical review2024

Brain tissue oxygen partial pressure monitoring and prognosis of patients with traumatic brain injury: a meta-analysis.

Yuqi Shen, Dan Wen, Zhenghua Liang, Li Wan, Qingli Jiang, Haiyan He, Mei He

Abstract readMeta-AnalysisReview
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Neurosurgical review, 2024. 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. Article
  2. Article
  3. Review
  4. Review
  5. Machine Learning Approaches to Prognostication in Traumatic Brain Injury.Current neurology and neuroscience reports · 2025
    Review
  6. Article
  7. Article
  8. Review
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

7 authors.

Yuqi Shen *Intensive Care Unit, School of Medicine, Mianyang Central Hospital, University of Electronic Science and Technology of China, Mianyang, Sichuan Province, China.
Dan Wen *Intensive Care Unit, School of Medicine, Mianyang Central Hospital, University of Electronic Science and Technology of China, Mianyang, Sichuan Province, China.
Zhenghua Liang *Intensive Care Unit, School of Medicine, Mianyang Central Hospital, University of Electronic Science and Technology of China, Mianyang, Sichuan Province, China.
Li WanIntensive Care Unit, School of Medicine, Mianyang Central Hospital, University of Electronic Science and Technology of China, Mianyang, Sichuan Province, China.
Qingli JiangIntensive Care Unit, School of Medicine, Mianyang Central Hospital, University of Electronic Science and Technology of China, Mianyang, Sichuan Province, China.
Haiyan HeIntensive Care Unit, School of Medicine, Mianyang Central Hospital, University of Electronic Science and Technology of China, Mianyang, Sichuan Province, China.
Mei HeDepartment of Nursing, School of Medicine, Mei He: RN, BSN, Mianyang Central Hospital, University of Electronic Science and Technology of China, No.12 Changjia Alley, Jingzhong Street, Fucheng District, Mianyang, 621000, Sichuan Province, China. hemeimy@163.com.

Funding

Zigong City philosophy and social science key research base health humanities research center JKRWY23-21
6 · The paper itself

Abstract

To assess whether monitoring brain tissue oxygen partial pressure (PbtO

Indexed as

BrainBrain Injuries, TraumaticIntracranial PressureOxygenCerebrovascular CirculationHumansLength of StayMonitoring, PhysiologicPartial PressurePrognosisOxygenBrain tissue oxygen monitoringCerebral perfusion pressureIntracranial pressureMeta-analysisTraumatic brain injury

Identifiers

PMID38758384
PMCPMC11101534

What OpenQuestion holds

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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.