Evidence map›Paper›PMID 30866007›Full record

ReviewSeminars in reproductive medicine2018

Transitioning from Infertility-Based (ART 1.0) to Elective (ART 2.0) Use of Assisted Reproductive Technologies and the DOHaD Hypothesis: Do We Need to Change Consenting?

Paolo Rinaudo, Amanda Adeleye

Abstract readReview
In one paragraph

Review in Seminars in reproductive medicine, 2018. 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
–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

3 citing papers in PubMed.

  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

2 authors.

Paolo RinaudoDivision or Reproductive Endocrinology, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, California.
Amanda AdeleyeDivision or Reproductive Endocrinology, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, California.

Funding

Long-Term Health Effect of Fertility Treatments Using an Animal ModelR01HD092267 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RINAUDO, PAOLO · 2017 to 2021
$1.9M
NICHD NIH HHS R01 HD092267
6 · The paper itself

Abstract

The use of assisted reproductive technologies (ARTs) has increased significantly in recent years. While this is partially due to improved access for infertile patients, another contribution to the growth of ART utilization is represented by individuals without infertility, who electively chose to freeze their gametes and embryos for future use, before ever attempting conception spontaneously. Overall, the safety of ART for parents and children is well described and the risks are modest. However, while long-term health consequences for offspring as postulated by the Developmental Origin of Health and Disease (DOHaD) hypothesis are unknown, numerous animal studies suggest a predisposition for chronic diseases like hypertension and glucose intolerance. In this article, we argue that a key difference exists between infertile patients, who need to use ART as the only means to achieve pregnancy, and (likely) fertile patients who elect to use ART techniques as a family planning option. We believe that these two sets of patients are different and their risks-benefit ratios are different. We propose that while all patients should be aware of the risks, patients planning to utilize ART techniques without a diagnosis of infertility should be encouraged to think critically about the additional risks, particularly the "potential" long-term risks that may be imposed from these elective procedures.

Indexed as

Child DevelopmentReproductive Techniques, AssistedAnimalsChildFemaleHumansInfertilityMalePregnancyRisk Assessment

Identifiers

PMID30866007
PMCPMC7061902

What OpenQuestion holds

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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.