Evidence map›Paper›PMID 40842751›Full record

ArticleCureus2025

Impact of Blood Volume on Pathogen Detection and Time to Positivity in Paediatric Blood Cultures Using BACT/ALERT 3D Automated Systems.

Nikhil K Yadav, Nikhil Raj, Vikramjeet Singh, Mohd Saquib, Krishna Yadav, Dipti Agarwal, Anupam Das, Manodeep Sen, Jyotsna Agarwal

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Situation and questions regarding the practice of blood cultures in paediatric patients: an opinion paper.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2026
    Review
  2. Article
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

9 authors.

Nikhil K YadavMicrobiology, Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow, IND.
Nikhil RajMicrobiology, Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow, IND.
Vikramjeet SinghMedical Microbiology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, IND.
Mohd SaquibMicrobiology, Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow, IND.
Krishna YadavPediatrics, Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow, IND.
Dipti AgarwalPediatrics, Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow, IND.
Anupam DasMicrobiology, Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow, IND.
Manodeep SenMicrobiology, Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow, IND.
Jyotsna AgarwalMicrobiology, Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Bloodstream infections (BSIs) are a major cause of morbidity and mortality in paediatric populations. Early and accurate pathogen detection is crucial for prompt therapy. Blood volume is a key factor influencing culture sensitivity and time to positivity (TTP). This study evaluated the impact of blood volume on microbial recovery and TTP in paediatric blood cultures using the BACT/ALERT 3D automated system (bioMérieux, Marcy-l'Étoile, France). Methods In this prospective study (April 2023-September 2024), 160 paediatric blood culture bottles were analysed. Blood volume was calculated using pre- and post-inoculation weights. Bottles were classified as optimal (>0.5 mL) or suboptimal (<0.5 mL). TTP and pathogen recovery were compared. Results Among 160 paediatric blood cultures, 78 (48.75%) flagged positive. Coagulase-negative

Indexed as

bact/alert 3d systembloodstream infection (bsi)blood volumepaediatric blood culturetime to positivity (ttp)

Identifiers

PMID40842751
PMCPMC12367235

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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.