Evidence map›Paper›PMID 2073899›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology1990

Evaluation of a gold-silver staining method for detection and identification of Candida species by light microscopy.

J C Cailliez, A Boudrissa, D W Mackenzie, D Poulain

Abstract read
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Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 1990. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 19% of its field
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

4 citing papers in PubMed, 14 citations in OpenAlex.

  1. Antibodies as Models and Tools to DecipherJournal of fungi (Basel, Switzerland) · 2023
    Review
  2. Article
  3. Cytological immunodetection of yeast glycoprotein secretion.European journal of epidemiology · 1992
    Review
  4. Immunohistologic diagnosis of systemic mycoses: an update.European journal of epidemiology · 1992
    Review
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

4 authors at 2 institutions in 3 countries.

J C CailliezInstitut National de la Santé et de la Recherche Médicale, Unité 42 de Biologie et de Biochimie Parasitaires et Fongiques, Villeneuve, France.
A Boudrissa
D W Mackenzie
D Poulain
Département Santé des Plantes et Environnement · FRCentral Middlesex Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A gold-silver staining procedure was evaluated for detection of Candida species of medical importance. Probes were prepared by coupling lectins or antibodies (polyclonal and monoclonal) directly or indirectly to colloidal gold particles. Structures reacting to these probes were specifically revealed by light microscopy in cells present in infected kidney tissue sections or in isolated yeast cells on glass slides. Definition, contrast and sensitivity were of a high order. Preliminary data showed that it was possible, using discriminating dilutions, to identify cells from different species of the genus Candida, grown in vitro, according to their ability to stain with polyclonal monospecific antisera. The advantages of gold-silver staining compared with other staining procedures currently used in routine mycological laboratories are its sensitivity, good definition, ease and rapidity, and long conservation of reaction. It is suggested that the procedure has applications for research and identification of yeasts in clinical samples.

Indexed as

CandidaEvaluation Studies as TopicImmunohistochemistryMicroscopy, ElectronSpecies Specificity

Identifiers

PMID2073899
OpenAlexW2058518848

What OpenQuestion holds

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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.