Evidence map›Paper›PMID 37363326›Full record

ReviewAdvances in laboratory medicine2021

Automated cell count in body fluids: a review.

María José Alcaide Martín, Laura Altimira Queral, Laura Sahuquillo Frías, Laura Valiña Amado, Anna Merino, Luis García de Guadiana-Romualdo

Open access · diamondAbstract readReview
In one paragraph

Review in Advances in laboratory medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

María José Alcaide MartínCommittee of Laboratory Tests, Spanish Society of Laboratory Medicine (SEQC-ML), Barcelona, Spain.
Laura Altimira QueralCommittee of Laboratory Tests, Spanish Society of Laboratory Medicine (SEQC-ML), Barcelona, Spain.
Laura Sahuquillo FríasCommittee of Laboratory Tests, Spanish Society of Laboratory Medicine (SEQC-ML), Barcelona, Spain.
Laura Valiña AmadoCommittee of Laboratory Tests, Spanish Society of Laboratory Medicine (SEQC-ML), Barcelona, Spain.
Anna MerinoHematologic Biology Committee, Spanish Society of Laboratory Medicine (SEQC-ML), Barcelona, Spain.
Luis García de Guadiana-RomualdoCommittee of Laboratory Tests, Spanish Society of Laboratory Medicine (SEQC-ML), Barcelona, Spain.
Spanish Society of Family and Community Medicine · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Body fluid cell counting provides valuable information for the diagnosis and treatment of a variety of conditions. Chamber cell count and cellularity analysis by optical microscopy are considered the gold-standard method for cell counting. However, this method has a long turnaround time and limited reproducibility, and requires highly-trained personnel. In the recent decades, specific modes have been developed for the analysis of body fluids. These modes, which perform automated cell counting, are incorporated into hemocytometers and urine analyzers. These innovations have been rapidly incorporated into routine laboratory practice. At present, a variety of analyzers are available that enable automated cell counting for body fluids. Nevertheless, these analyzers have some limitations and can only be operated by highly-qualified laboratory professionals. In this review, we provide an overview of the most relevant automated cell counters currently available for body fluids, the interpretation of the parameters measured by these analyzers, their main analytical features, and the role of optical microscopy as automated cell counters gain ground.

Indexed as

automated cell countbody fluidschamber countoptical microscopy

Identifiers

PMID37363326
PMCPMC10197423
OpenAlexW3136484284

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.