Evidence map›Paper›PMID 24430451›Full record

ArticleJournal of clinical microbiology2014

Rapid identification of bacteria and Candida pathogens in peritoneal dialysis effluent from patients with peritoneal dialysis-related peritonitis by use of multilocus PCR coupled with electrospray ionization mass spectrometry.

Yu-Tzu Chang, Hsuan-Chen Wang, Ming-Cheng Wang, An-Bang Wu, Junne-Ming Sung, H Sunny Sun, Ih-Jen Su, Wei-Chih Kan, Chih-Chiang Chien, Jyh-Chang Hwang and 3 more

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-weighted citation impact, top 35% 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, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Molecular Diagnosis of Yeast Infections.Current fungal infection reports · 2021
    Review
  6. Article
  7. ISPD Peritonitis Recommendations: 2016 Update on Prevention and Treatment.Peritoneal dialysis international : journal of the International Society for Peritoneal Dialysis · 2016
    Review
  8. Review
  9. 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

13 authors at 4 institutions in 1 country.

Yu-Tzu ChangDepartment of Internal Medicine, National Cheng Kung University Hospital and College of Medicine, Tainan, Taiwan.
Hsuan-Chen Wang
Ming-Cheng Wang
An-Bang Wu
Junne-Ming Sung
H Sunny Sun
Ih-Jen Su
Wei-Chih Kan
Chih-Chiang Chien
Jyh-Chang Hwang
Hsien-Yi Wang
Chin-Chung Tseng
Chi-Jung Wu
National Cheng Kung University · TWChi Mei Medical Center · TWNational Health Research Institutes · TWNational Cheng Kung University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PCR coupled with electrospray ionization mass spectrometry (PCR/ESI-MS) was compared with culture for pathogen detection in peritoneal dialysis (PD)-related peritonitis. Of 21 samples of PD effluent, PCR/ESI-MS identified microorganisms in 18 (86%) samples, including Mycobacterium tuberculosis in 1 culture-negative sample. Of 15 double-positive samples, PCR/ESI-MS and culture reached levels of agreement of 100% (15/15) and 87.5% (7/8) at the genus and species levels, respectively. PCR/ESI-MS can be used for rapid pathogen detection in PD-related peritonitis.

Indexed as

Dialysis SolutionsAdultAgedBacteriaBacterial InfectionsCandidaCandidiasisChildFemaleHumansMaleMicrobiological TechniquesMiddle AgedPeritoneal DialysisPeritonitisPolymerase Chain ReactionDialysis Solutions

Identifiers

PMID24430451
PMCPMC3993497
OpenAlexW2016451416

What OpenQuestion holds

Textmetadata
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.