Evidence map›Paper›PMID 28609268›Full record

ArticleJBRA assisted reproduction2017

Key performance indicators score (KPIs-score) based on clinical and laboratorial parameters can establish benchmarks for internal quality control in an ART program.

José G Franco, Claudia G Petersen, Ana L Mauri, Laura D Vagnini, Adriana Renzi, Bruna Petersen, M C Mattila, Vanessa A Comar, Juliana Ricci, Felipe Dieamant and 2 more

Abstract read
In one paragraph

Article in JBRA assisted reproduction, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. All Models Are Wrong, but Some Are Useful.Journal of assisted reproduction and genetics · 2020
    Article
  9. Article
  10. 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

12 authors.

José G FrancoCenter for Human Reproduction Prof. Franco Jr., Ribeirao Preto, Brazil.
Claudia G PetersenCenter for Human Reproduction Prof. Franco Jr., Ribeirao Preto, Brazil.
Ana L MauriCenter for Human Reproduction Prof. Franco Jr., Ribeirao Preto, Brazil.
Laura D VagniniPaulista Center for Diagnosis, Research and Training, Ribeirao Preto, Brazil.
Adriana RenziPaulista Center for Diagnosis, Research and Training, Ribeirao Preto, Brazil.
Bruna PetersenPaulista Center for Diagnosis, Research and Training, Ribeirao Preto, Brazil.
M C MattilaCenter for Human Reproduction Prof. Franco Jr., Ribeirao Preto, Brazil.
Vanessa A ComarCenter for Human Reproduction Prof. Franco Jr., Ribeirao Preto, Brazil.
Juliana RicciCenter for Human Reproduction Prof. Franco Jr., Ribeirao Preto, Brazil.
Felipe DieamantCenter for Human Reproduction Prof. Franco Jr., Ribeirao Preto, Brazil.
João Batista A OliveiraCenter for Human Reproduction Prof. Franco Jr., Ribeirao Preto, Brazil.
Ricardo L R BaruffiCenter for Human Reproduction Prof. Franco Jr., Ribeirao Preto, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveKPIs have been employed for internal quality control (IQC) in ART. However, clinical KPIs (C-KPIs) such as age, AMH and number of oocytes collected are never added to laboratory KPIs (L-KPIs), such as fertilization rate and morphological quality of the embryos for analysis, even though the final endpoint is the evaluation of clinical pregnancy rates. This paper analyzed if a KPIs-score strategy with clinical and laboratorial parameters could be used to establish benchmarks for IQC in ART cycles.

methodsIn this prospective cohort study, 280 patients (36.4±4.3years) underwent ART. The total KPIs-score was obtained by the analysis of age, AMH (AMH Gen II ELISA/pre-mixing modified, Beckman Coulter Inc.), number of metaphase-II oocytes, fertilization rates and morphological quality of the embryonic lot.

resultsThe total KPIs-score (C-KPIs+L-KPIs) was correlated with the presence or absence of clinical pregnancy. The relationship between the C-KPIs and L-KPIs scores was analyzed to establish quality standards, to increase the performance of clinical and laboratorial processes in ART. The logistic regression model (LRM), with respect to pregnancy and total KPIs-score (280 patients/102 clinical pregnancies), yielded an odds ratio of 1.24 (95%CI = 1.16-1.32). There was also a significant difference (p<0.0001) with respect to the total KPIs-score mean value between the group of patients with clinical pregnancies (total KPIs-score=20.4±3.7) and the group without clinical pregnancies (total KPIs-score=15.9±5). Clinical pregnancy probabilities (CPP) can be obtained using the LRM (prediction key) with the total KPIs-score as a predictor variable. The mean C-KPIs and L-KPIs scores obtained in the pregnancy group were 11.9±2.9 and 8.5±1.7, respectively. Routinely, in all cases where the C-KPIs score was ≥9, after the procedure, the L-KPIs score obtained was ≤6, a revision of the laboratory procedure was performed to assess quality standards.

conclusionThis total KPIs-score could set up benchmarks for clinical pregnancy. Moreover, IQC can use C-KPIs and L-KPIs scores to detect problems in the clinical-laboratorial interface.

Indexed as

AdultBenchmarkingFemaleHumansLaboratoriesModels, StatisticalPregnancyPregnancy RateProspective StudiesQuality ControlQuality Indicators, Health CareReproductive Techniques, AssistedAMHclinical pregnancyICSIinternal quality controlIVFKPI

Identifiers

PMID28609268
PMCPMC5473694

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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.