Evidence map›Paper›PMID 35885574›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Optimization of Patient Management in the Gynecology Emergency Department Using Point-of-Care Beta hCG.

Mehdi Brousse, Anne-Sophie Bargnoux, Caroline Courtais-Coulon, Stéphanie Badiou, Nils Kuster, Clara Compan, Florent Fuchs, Jean-Paul Cristol

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. 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
0.4field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Use of the Abbott i-STAT®1 point of care device for hCG quantification in early pregnancy.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025
    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

8 authors at 3 institutions in 1 country.

Mehdi BrousseDépartement de Biochimie et Hormonologie, CHU de Montpellier, Université de Montpellier, 34295 Montpellier, France.
Anne-Sophie BargnouxDépartement de Biochimie et Hormonologie, CHU de Montpellier, Université de Montpellier, 34295 Montpellier, France.
Caroline Courtais-CoulonDépartement de Biochimie et Hormonologie, CHU de Montpellier, Université de Montpellier, 34295 Montpellier, France.
Stéphanie BadiouDépartement de Biochimie et Hormonologie, CHU de Montpellier, Université de Montpellier, 34295 Montpellier, France.
Nils KusterDépartement de Biochimie et Hormonologie, CHU de Montpellier, Université de Montpellier, 34295 Montpellier, France.
Clara CompanDépartement de Gynécologie-Obstétrique, CHU de Montpellier, Université de Montpellier, 34295 Montpellier, France.
Florent FuchsDépartement de Gynécologie-Obstétrique, CHU de Montpellier, Université de Montpellier, 34295 Montpellier, France.
Jean-Paul CristolDépartement de Biochimie et Hormonologie, CHU de Montpellier, Université de Montpellier, 34295 Montpellier, France.ORCID 0000-0001-8563-7278
Centre National de la Recherche Scientifique · FRUniversité de Montpellier · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Point-of-care testing (POCT) provides shorter turn-around times and, in many cases, potentially improves medical decision making. The AQT90 FLEX® benchtop immunoanalyzer (Radiometer Medical ApS, Copenhagen, Denmark) allows for the determination of beta-human chorionic gonadotropin (βhCG) in 18 min. The main aim of this study was to evaluate the impact of measuring βhCG using the AQT90 analyzer in the gynecology emergency department (ED) compared to the standard practice of using central laboratory blood testing on the patient length of stay (LOS). Methods: The evaluation consisted of two parts. The first one, conducted in the central laboratory, focused on the analytical performances of the AQT βhCG assay. The second one, conducted in the ED, aimed at determining the impact of POCT βhCG implementation on the timeframe in which ED patients require βhCG assessment. Results: The within-lab imprecisions at the mean values of 17 and 287 IU/L were 2.7% and 3.7%, respectively. Using Deming regression (n = 60), the following equation was obtained in the central lab: AQT90 βhCG = 1.1 Roche βhCG—12.9 (r = 0.997). The implementation of POCT βhCG in the ED significantly reduced patient LOS (145 (90−212) min vs. 205 (155−265) with and without AQT90, respectively, p < 0.001). At the 2 IU/L decision level, a 99.7% agreement with the Roche assay was reported (kappa statistics, 0.99). Conclusions: We confirm that the analytical qualities of the AQT 90 were in line with those obtained in the central lab. The implementation of the POCT βhCG is associated with a shorter LOS in the ED due to the faster availability of the results and the faster decision-making possibilities.

Indexed as

emergency departmentlength of stayPOCTβhCG

Identifiers

PMID35885574
PMCPMC9318004
OpenAlexW4285005068

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.