Evidence map›Paper›PMID 40800066›Full record

ArticleJournal of biological methods2025

Bacterial identification using MALDI-TOF mass spectrometry in positive blood cultures: A pilot study.

Smriti Srivastava, Akshay Shankar, Neha Sharad, Aparna Ningombam, Kamran Farooque, Purva Mathur

Abstract read
In one paragraph

Article in Journal of biological methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Smriti SrivastavaDepartment of Microbiology, Jai Prakash Narayan Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi 110029, India.
Akshay ShankarDepartment of Lab Medicine, Jai Prakash Narayan Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi 110029, India.
Neha SharadDepartment of Microbiology, Jai Prakash Narayan Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi 110029, India.
Aparna NingombamDepartment of Lab Medicine, Jai Prakash Narayan Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi 110029, India.
Kamran FarooqueDepartment of Orthopedics, Jai Prakash Narayan Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi 110029, India.
Purva MathurDepartment of Lab Medicine, Jai Prakash Narayan Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi 110029, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Early pathogen identification in the bloodstream has long been a key focus for microbiologists and clinicians, given its crucial role in patient management. Matrix-assisted laser desorption ionization-time of flight mass spectrometry has emerged as a valuable tool for the direct and rapid identification of organisms from positive blood cultures. Objective: This study aimed to evaluate the accuracy, productivity, and feasibility of two methods for the rapid detection of bloodstream infections. Methods: Two methods were employed in this study: One based on differential centrifugation and the other using a lysis buffer. Results: The addition of a lysis buffer, sodium dodecyl sulfate (SDS), to the blood culture broth resulted in the identification of a greater number of microorganisms ( Conclusion: The application of SDS into culture broths is user-friendly and can be easily integrated into routine blood culture processing, allowing for species-level identification within hours of a positive BacT/ALERT signal.

Indexed as

Blood cultureBloodstream infectionMALDI-TOF mass spectrometryRapid diagnosis

Identifiers

PMID40800066
PMCPMC12342273

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.