Evidence map›Paper›PMID 30288067›Full record

ArticleInfection and drug resistance2018

Evaluation of blood culture broths with lysis buffer to directly identify specific pathogens by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry methods.

Maya Hariu, Yuji Watanabe, Nozomi Oikawa, Takafumi Manaka, Masafumi Seki

Abstract read
In one paragraph

Article in Infection and drug resistance, 2018. 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
–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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Detection ofInfection and drug resistance · 2023
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
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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

5 authors.

Maya HariuDivision of Infectious Diseases and Infection Control, Tohoku Medical and Pharmaceutical University Hospital, Sendai City, Miyagi, Japan, m-seki@tohoku-mpu.ac.jp, seki@hosp.tohoku-mpu.ac.jp.
Yuji WatanabeDivision of Infectious Diseases and Infection Control, Tohoku Medical and Pharmaceutical University Hospital, Sendai City, Miyagi, Japan, m-seki@tohoku-mpu.ac.jp, seki@hosp.tohoku-mpu.ac.jp.
Nozomi OikawaDivision of Infectious Diseases and Infection Control, Tohoku Medical and Pharmaceutical University Hospital, Sendai City, Miyagi, Japan, m-seki@tohoku-mpu.ac.jp, seki@hosp.tohoku-mpu.ac.jp.
Takafumi ManakaDivision of Infectious Diseases and Infection Control, Tohoku Medical and Pharmaceutical University Hospital, Sendai City, Miyagi, Japan, m-seki@tohoku-mpu.ac.jp, seki@hosp.tohoku-mpu.ac.jp.
Masafumi SekiDivision of Infectious Diseases and Infection Control, Tohoku Medical and Pharmaceutical University Hospital, Sendai City, Miyagi, Japan, m-seki@tohoku-mpu.ac.jp, seki@hosp.tohoku-mpu.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMatrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) is now widely used to detect pathogens in clinical settings in Japan.

methodHere, we report the effects of adding lysis buffer in the MALDI-TOF MS method to directly detect bacteria from 3 blood culture systems and compare their detection efficiencies for each pathogen.

resultsBlood culture broths from BD, bioMérieux, and Oxoid showed similar detection efficiencies without lysis buffer use and

conclusionOptimization of blood culture system and lysis buffer is necessary according to each pathogen for direct identification by MALDI-TOF MS methods.

Indexed as

blood cultures brothEscherichia coliHaemophilus influenzaelysis bufferStreptococcus pneumoniaetime-of-flight mass spectrometry

Identifiers

PMID30288067
PMCPMC6159798

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Registered trials

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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.