Evidence map›Paper›PMID 28045084›Full record

ArticleScientific reports2017

Cerebrospinal fluid lens-free microscopy: a new tool for the laboratory diagnosis of meningitis.

Robin Delacroix, Sophie Nhu An Morel, Lionel Hervé, Thomas Bordy, Jean-Marc Dinten, Michel Drancourt, Cédric Allier

Abstract readEvaluation Study
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Point-of-care multiplexed diagnosis of meningitis using the FilmArray® ME panel technology.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2020
    Article
  6. Article
  7. 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

7 authors.

Robin DelacroixAix Marseille Univ, INSERM, CNRS, IRD, URMITE, Marseille, France.
Sophie Nhu An MorelUniversité de Grenoble Alpes, F-38000 Grenoble, France, CEA, LETI, MINATEC Campus, Technologies for Healthcare and Biology division, F-38054 Grenoble, France.
Lionel HervéUniversité de Grenoble Alpes, F-38000 Grenoble, France, CEA, LETI, MINATEC Campus, Technologies for Healthcare and Biology division, F-38054 Grenoble, France.
Thomas BordyUniversité de Grenoble Alpes, F-38000 Grenoble, France, CEA, LETI, MINATEC Campus, Technologies for Healthcare and Biology division, F-38054 Grenoble, France.
Jean-Marc DintenUniversité de Grenoble Alpes, F-38000 Grenoble, France, CEA, LETI, MINATEC Campus, Technologies for Healthcare and Biology division, F-38054 Grenoble, France.
Michel DrancourtAix Marseille Univ, INSERM, CNRS, IRD, URMITE, Marseille, France.
Cédric AllierUniversité de Grenoble Alpes, F-38000 Grenoble, France, CEA, LETI, MINATEC Campus, Technologies for Healthcare and Biology division, F-38054 Grenoble, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cerebrospinal fluid cytology is performed by operator-dependant light microscopy as part of the routine laboratory work-flow diagnosis of meningitis. We evaluated operator-independent lens-free microscopy numeration of erythrocytes and leukocytes for the cytological diagnosis of meningitis. In a first step, prospective optical microscopy counts of leukocytes done by five different operators yielded an overall 16.7% misclassification of 72 cerebrospinal fluid specimens in meningitis/non-meningitis categories using a 10 leukocyte/μL cut-off. In a second step, the lens-free microscopy algorithm adapted for counting cerebrospinal fluid cells and discriminating leukocytes from erythrocytes was modified step-by-step in the prospective analysis of 215 cerebrospinal fluid specimens. The definite algorithm yielded a 100% sensitivity and a 86% specificity compared to confirmed diagnostics. In a third step, a blind lens-free microscopic analysis of 116 cerebrospinal fluid specimens, including six cases of microbiology-confirmed infectious meningitis, yielded a 100% sensitivity and a 79% specificity. Adapted lens-free microscopy is thus emerging as an operator-independent technique for the rapid numeration of leukocytes and erythrocytes in cerebrospinal fluid. In particular, this technique is well suited to the rapid diagnosis of meningitis at point-of-care laboratories.

Indexed as

Cerebrospinal FluidCytodiagnosisErythrocytesHumansLeukocytesMeningitisObserver VariationPoint-of-Care Testing

Identifiers

PMID28045084
PMCPMC5206666

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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.