Evidence map›Paper›PMID 37937972›Full record

ArticlemSystems2023

Economic impact of metagenomic next-generation sequencing versus traditional bacterial culture for postoperative central nervous system infections using a decision analysis mode: study protocol for a randomized controlled trial.

Ying Tian, Ran Gao, Yumei Wang, Yimin Zhou, Shanshan Xu, Yuqing Duan, Wenyi Lv, Shuya Wang, Mengxue Hou, Yuqing Chen and 4 more

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in mSystems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Recent advances in diagnostic technologies for postoperative central nervous system infections: a review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    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

14 authors at 2 institutions in 2 countries.

Ying TianDepartment of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0003-2407-6141
Ran GaoDepartment of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yumei WangDepartment of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yimin ZhouDepartment of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Shanshan XuDepartment of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yuqing DuanDepartment of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Wenyi LvDepartment of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Shuya WangDepartment of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Mengxue HouDepartment of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yuqing ChenDepartment of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Fangqiang LiDepartment of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Wei GaoDepartment of Microbiology and Immunology, Peter Doherty Institute, University of Melbourne, Melbourne, Victoria, Australia.
Linlin Zhang *Department of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-5960-4605
Jian-Xin Zhou *Department of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Capital Medical University · CNThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importanceDiagnosing and treating postoperative central nervous system infections (PCNSIs) remains challenging due to the low detection rate and time-consuming nature of traditional methods for identifying microorganisms in cerebrospinal fluid. Metagenomic next-generation sequencing (mNGS) technology provides a rapid and comprehensive understanding of microbial composition in PCNSIs by swiftly sequencing and analyzing the microbial genome. The current study aimed to assess the economic impact of using mNGS versus traditional bacterial culture-directed PCNSIs diagnosis and therapy in post-neurosurgical patients from Beijing Tiantan Hospital. mNGS is a relatively expensive test item, and whether it has the corresponding health-economic significance in the clinical application of diagnosing intracranial infection has not been studied clearly. Therefore, the investigators hope to explore the clinical application value of mNGS detection in PCNSIs after neurosurgery.

Indexed as

Central Nervous System Bacterial InfectionsCentral Nervous System InfectionsDecision Support TechniquesEconomics, MedicalHigh-Throughput Nucleotide SequencingHumansRandomized Controlled Trials as Topiccentral nervous system infectionscerebrospinal fluid culturediagnosishealth economicsmetagenomic next-generation sequencing

Identifiers

PMID37937972
PMCPMC10734456
OpenAlexW4388500581

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.