Evidence map›Paper›PMID 33790856›Full record

ArticleFrontiers in endocrinology2021

Mathematical Modeling and Simulation Provides Evidence for New Strategies of Ovarian Stimulation.

Sophie Fischer, Rainald Ehrig, Stefan Schäfer, Enrico Tronci, Toni Mancini, Marcel Egli, Fabian Ille, Tillmann H C Krüger, Brigitte Leeners, Susanna Röblitz

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

10 authors at 7 institutions in 4 countries.

Sophie FischerComputational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway.
Rainald EhrigComputational Systems Biology Group, Zuse Institute Berlin (ZIB), Berlin, Germany.
Stefan SchäferDepartment of Microstructure and Residual Stress Analysis, Helmholtz Centre Berlin for Materials and Energy, Berlin, Germany.
Enrico TronciDepartment of Computer Science, University of Rome "La Sapienza", Rome, Italy.
Toni ManciniDepartment of Computer Science, University of Rome "La Sapienza", Rome, Italy.
Marcel EgliCentre of Competence in Aerospace Biomedical Science & Technology, Lucerne University of Applied Sciences and Arts, Lucerne, Switzerland.
Fabian IlleCentre of Competence in Aerospace Biomedical Science & Technology, Lucerne University of Applied Sciences and Arts, Lucerne, Switzerland.
Tillmann H C KrügerDepartment of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany.
Brigitte LeenersDepartment of Reproductive Medicine, University Hospital Zurich, Zurich, Switzerland.
Susanna RöblitzComputational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway.
Lucerne University of Applied Sciences and Arts · CHSapienza University of Rome · ITUniversity of Bergen · NOHelmholtz-Zentrum Berlin für Materialien und Energie · DEMedizinische Hochschule Hannover · DEUniversity Hospital of Zurich · CHZuse Institute Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New approaches to ovarian stimulation protocols, such as luteal start, random start or double stimulation, allow for flexibility in ovarian stimulation at different phases of the menstrual cycle. It has been proposed that the success of these methods is based on the continuous growth of multiple cohorts ("waves") of follicles throughout the menstrual cycle which leads to the availability of ovarian follicles for ovarian controlled stimulation at several time points. Though several preliminary studies have been published, their scientific evidence has not been considered as being strong enough to integrate these results into routine clinical practice. This work aims at adding further scientific evidence about the efficiency of variable-start protocols and underpinning the theory of follicular waves by using mathematical modeling and numerical simulations. For this purpose, we have modified and coupled two previously published models, one describing the time course of hormones and one describing competitive follicular growth in a normal menstrual cycle. The coupled model is used to test ovarian stimulation protocols

Indexed as

Models, TheoreticalComputer SimulationFemaleFertility Agents, FemaleHumansMenstrual CycleOvarian FollicleOvulation InductionPharmacokineticsTherapies, InvestigationalFertility Agents, Femaleassisted reproductive technologiesendocrinological networksfollicular dynamicsordinary differential equationssystems biology

Identifiers

PMID33790856
PMCPMC8006380
OpenAlexW3136001145

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.