Evidence map›Paper›PMID 40851034›Full record

ArticleNPJ digital medicine2025

Culture-free detection of bacteria from blood for rapid sepsis diagnosis.

M Henar Marino Miguélez, Mohammad Osaid, Erik Hallström, Kerem Kaya, Jimmy Larsson, Vinodh Kandavalli, Carolina Wählby, Johan Elf, Wouter van der Wijngaart

Abstract read
In one paragraph

Article in NPJ digital medicine, 2025. 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. A review of bloodstream infections-pathogens, pathogenesis, diagnostic strategies, treatment methods-challenges and future aspects.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Review
  4. Review
  5. Review
  6. Review
  7. 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

9 authors.

M Henar Marino Miguélez *Micro and Nanosystems, KTH Royal Institute of Technology, Stockholm, Sweden.
Mohammad Osaid *Micro and Nanosystems, KTH Royal Institute of Technology, Stockholm, Sweden.
Erik HallströmDepartment of Information Technology, Uppsala University, Uppsala, Sweden.
Kerem KayaMicro and Nanosystems, KTH Royal Institute of Technology, Stockholm, Sweden.
Jimmy LarssonMolecular Systems Biology, Uppsala University, Uppsala, Sweden.
Vinodh KandavalliMolecular Systems Biology, Uppsala University, Uppsala, Sweden.
Carolina WählbyDepartment of Information Technology, Uppsala University, Uppsala, Sweden.
Johan ElfMolecular Systems Biology, Uppsala University, Uppsala, Sweden. johan.elf@icm.uu.se.
Wouter van der WijngaartMicro and Nanosystems, KTH Royal Institute of Technology, Stockholm, Sweden. wouter@kth.se.

Funding

Stiftelsen för Strategisk Forskning ARC19-0016Vetenskapsrådet 2022-06725
6 · The paper itself

Abstract

Approximately 50 million people suffer from sepsis yearly, and 13 million die from it. For every hour a patient with septic shock is untreated, their survival rate decreases by 8%. Therefore, rapid detection and antibiotic susceptibility profiling of bacterial agents in the blood of sepsis patients are crucial for determining appropriate treatment. Here, we introduce a method to isolate bacteria from whole blood with high separation efficiency through Smart centrifugation, followed by microfluidic trapping and subsequent detection using deep learning applied to microscopy images. We detected, within 2 h, E. coli, K. pneumoniae, or E. faecalis from spiked samples of healthy human donor blood at clinically relevant concentrations as low as 9, 7 and 32 colony-forming units per ml of blood, respectively. However, the detection of S. aureus remains a challenge. This rapid isolation and detection represents a significant advancement towards culture-free detection of bloodstream infections.

Identifiers

PMID40851034
PMCPMC12375708

What Socratic 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 Socratic graph.