ReviewJournal of reproduction & infertility
Models Predicting Success of Infertility Treatment: A Systematic Review.
Review in Journal of reproduction & infertility. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled 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.
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
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Psychosocial Aspects of Gestational Grief in Women Undergoing Infertility Treatment: A Systematic Review of Qualitative and Quantitative Evidence.International journal of environmental research and public health · 2021Pooled it
- The future of embryo engineering and fertility research in interdisciplinary collaboration.Frontiers in cell and developmental biology · 2025Review
- The impact of low oocyte maturity ratio on blastocyst euploidy rate: a matched retrospective cohort study.Contraception and reproductive medicine · 2024Article
- Development of a machine learning-based prediction model for clinical pregnancy of intrauterine insemination in a large Chinese population.Journal of assisted reproduction and genetics · 2024Article
- Modelling and comparing the use of IVF and ICSI in Australia.Journal of assisted reproduction and genetics · 2024Article
- A hybrid feature selection algorithm to determine effective factors in predictive model of success rate for in vitro fertilization/intracytoplasmic sperm injection treatment: A cross-sectional study.International journal of reproductive biomedicine · 2023Article
- The relationship between microbial contaminations of embryo transfer catheters with pregnancy outcome after embryo transfer.Annals of medicine and surgery (2012) · 2023Article
- External validation of models for predicting cumulative live birth over multiple complete cycles of IVF treatment.Human reproduction (Oxford, England) · 2023Article
- Developing machine learning-based models to predict intrauterine insemination (IUI) success by address modeling challenges in imbalanced data and providing modification solutions for them.BMC medical informatics and decision making · 2022Article
- Accuracy of endometrial length measurement in predicting IVF/ICSI outcome.Journal of medicine and life · 2022Article
- Evaluation of the novel vaginal contraceptive agent PPCM in preclinical studies using sperm hyaluronan binding and acrosome status assays.Andrology · 2022Article
- "The worst time of my life": Treatment-related stress and unmet needs of women living with infertility.Journal of community psychology · 2021Article
- Machine learning predicts live-birth occurrence before in-vitro fertilization treatment.Scientific reports · 2020Article
- Article
- The link between endometrial stromal cell senescence and decidualization in female fertility: the art of balance.Cellular and molecular life sciences : CMLS · 2020Review
- The Success Rate and Factors Affecting the Outcome of Assisted Reproductive Treatment in Subfertile Men.Iranian journal of public health · 2020Article
- Patient perceptions and understanding of treatment instructions for ovarian stimulation during infertility treatment.Reproductive biomedicine & society online · 2019Article
- Use of Artificial Neural Networks and PCA to Predict Results of Infertility Treatment in the ICSI Method.Journal of biomedical physics & engineering · 2019Article
- Can we predict the IVF/ICSI live birth rate?JBRA assisted reproduction · 2019Article
- Improving the safety of the embryo and the patient duringWideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInfertile couples are faced with problems that affect their marital life. Infertility treatment is expensive and time consuming and occasionally isn't simply possible. Prediction models for infertility treatment have been proposed and prediction of treatment success is a new field in infertility treatment. Because prediction of treatment success is a new need for infertile couples, this paper reviewed previous studies for catching a general concept in applicability of the models.
methodsThis study was conducted as a systematic review at Avicenna Research Institute in 2015. Six data bases were searched based on WHO definitions and MESH key words. Papers about prediction models in infertility were evaluated.
resultsEighty one papers were eligible for the study. Papers covered years after 1986 and studies were designed retrospectively and prospectively. IVF prediction models have more shares in papers. Most common predictors were age, duration of infertility, ovarian and tubal problems.
conclusionPrediction model can be clinically applied if the model can be statistically evaluated and has a good validation for treatment success. To achieve better results, the physician and the couples' needs estimation for treatment success rate were based on history, the examination and clinical tests. Models must be checked for theoretical approach and appropriate validation. The privileges for applying the prediction models are the decrease in the cost and time, avoiding painful treatment of patients, assessment of treatment approach for physicians and decision making for health managers. The selection of the approach for designing and using these models is inevitable.
Indexed as
Identifiers
27141461PMC4842237What 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.