Evidence map›Paper›PMID 36339188›Full record

ArticleFrontiers in public health2022

Detection of multidrug-resistant

Ying Tian, Han Xia, Linlin Zhang, Jian-Xin Zhou

Open access · goldAbstract readCase Reports
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 41% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. 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
  3. Article
  4. Article
  5. 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

4 authors at 3 institutions in 1 country.

Ying TianDepartment of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Han XiaDepartment of Scientific Affairs, Hugo Biotechnologies, Co., Ltd, Beijing, China.
Linlin ZhangDepartment of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Jian-Xin ZhouDepartment of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Beijing Shijitan Hospital · CNBeijing Tian Tan Hospital · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Central nervous system (CNS) infection is one of the most serious complications after neurosurgery. Traditional clinical methods are difficult to diagnose the pathogen of intracranial infection. Due to recent advances in genomic approaches, especially sequencing technologies, metagenomic next-generation sequencing (mNGS) has been applied in many research and clinical settings. Case presentation: Here, we report a case of CNS infection with Conclusion: mNGS has great advantages in pathogen identification and even pathogen resistance prediction. Multiple mNGS examinations during the course of the disease play an important role in the dynamic monitoring of pathogens.

Indexed as

Acinetobacter baumanniiCentral Nervous System InfectionsEpendymomaMycobacterium tuberculosisNeurosurgeryAdolescentFemaleHigh-Throughput Nucleotide SequencingHumansMicrobial Sensitivity TestsAcinetobacter baumanniicentral nervous system infectionscerebrospinal fluidmetagenomic next-generation sequencingresistance genes

Identifiers

PMID36339188
PMCPMC9634161
OpenAlexW4306969781

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.