ReviewJournal of advanced research2014
Prediction models in in vitro fertilization; where are we? A mini review.
Review in Journal of advanced research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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.
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.
Who cites it
31 citing papers in PubMed, 76 citations in OpenAlex.
- Machine learning prediction of live birth after IVF using the morphological uterus sonographic assessment group features of adenomyosis.Scientific reports · 2026Article
- How to estimate the probability of a live birth after one or more complete IVF cycles? the development of a novel model in a single-center.BMC pregnancy and childbirth · 2025Article
- Reforming medical career progression: a call for merit-based systems.Frontiers in medicine · 2025Article
- Progesterone levels on hCG day and oocyte maturation in a Mexican IVF program.JBRA assisted reproduction · 2024Observational
- External validation of models for predicting cumulative live birth over multiple complete cycles of IVF treatment.Human reproduction (Oxford, England) · 2023Article
- Predicted probabilities of live birth following assisted reproductive technology using United States national surveillance data from 2016 to 2018.American journal of obstetrics and gynecology · 2023Article
- Article
- Non-coding RNAs from seminal plasma extracellular vesicles and success of live birth among couples undergoing fertility treatment.Frontiers in cell and developmental biology · 2023Article
- Nomogram prediction for the prediction of clinical pregnancy in Freeze-thawed Embryo Transfer.BMC pregnancy and childbirth · 2022Article
- Artificial Intelligence in the Assessment of Female Reproductive Function Using Ultrasound: A Review.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2022Review
- Pseudo contrastive labeling for predicting IVF embryo developmental potential.Scientific reports · 2022Article
- Nomogram incorporating ultrasonic markers of endometrial receptivity to determine the embryo-endometrial synchrony afterFrontiers in endocrinology · 2022Article
- Prediction of ovarian response in IVF/ICSI cycles.JBRA assisted reproduction · 2021Article
- Individualized embryo selection strategy developed by stacking machine learning model for better in vitro fertilization outcomes: an application study.Reproductive biology and endocrinology : RB&E · 2021Article
- The impact of preovulatory versus midluteal serum progesterone level on live birth rates during fresh embryo transfer.PloS one · 2021Article
- Machine learning predicts live-birth occurrence before in-vitro fertilization treatment.Scientific reports · 2020Article
- Article
- GDF9 polymorphisms: influence on ovarian response in women undergoing controlled ovarian hyperstimulation.JBRA assisted reproduction · 2020Article
- The Success Rate and Factors Affecting the Outcome of Assisted Reproductive Treatment in Subfertile Men.Iranian journal of public health · 2020Article
- The Disordered Vaginal Microbiota Is a Potential Indicator for a Higher Failure ofFrontiers in medicine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since the introduction of in vitro fertilization (IVF) in 1978, over five million babies have been born worldwide using IVF. Contrary to the perception of many, IVF does not guarantee success. Almost 50% of couples that start IVF will remain childless, even if they undergo multiple IVF cycles. The decision to start or pursue with IVF is challenging due to the high cost, the burden of the treatment, and the uncertain outcome. In optimal counseling on chances of a pregnancy with IVF, prediction models may play a role, since doctors are not able to correctly predict pregnancy chances. There are three phases of prediction model development: model derivation, model validation, and impact analysis. This review provides an overview on predictive factors in IVF, the available prediction models in IVF and provides key principles that can be used to critically appraise the literature on prediction models in IVF. We will address these points by the three phases of model development.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.