Evidence map›Paper›PMID 38716407›Full record

ArticleHuman reproduction open2024

Prognosis-based management of unexplained infertility-why not?

Laxmi Shingshetty, Rui Wang, Qian Feng, Abha Maheshwari, Ben W Mol

Abstract readEditorial
In one paragraph

Article in Human reproduction open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Laxmi ShingshettyAberdeen Centre for Women's Health Research, Institute of Applied Health Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.ORCID https://orcid.org/0000-0002-6013-3652
Rui WangDepartment of Obstetrics and Gynaecology, Monash University, Clayton, VIC, Australia.ORCID https://orcid.org/0000-0002-6622-8134
Qian FengDepartment of Obstetrics and Gynaecology, Monash University, Clayton, VIC, Australia.ORCID https://orcid.org/0000-0003-3321-6660
Abha MaheshwariAberdeen Centre for Women's Health Research, Institute of Applied Health Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.ORCID https://orcid.org/0000-0002-3652-2447
Ben W MolAberdeen Centre for Women's Health Research, Institute of Applied Health Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.ORCID https://orcid.org/0000-0001-8337-550X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Up to a half of couples seeking medical assistance for infertility are diagnosed with unexplained infertility, characterized by normal ovulation, tubal patency, and semen analysis results. This condition presents a challenge in determining the optimal treatment approach. Available treatments include IUI and IVF, but guidelines vary on when to offer each. Prognosis-based management is identified as a research priority, and various prediction models have been developed to guide treatment decisions. Prognostic factors include female age, duration of subfertility, and sperm parameters, among others. Prognosis-based strategies can enhance cost-effectiveness, safety, and patient outcomes, offering less invasive options to those with good prognoses and more aggressive interventions to those with poor prognoses. However, there is a gap between research evidence and its clinical application. In this article, we discuss the application of prognosis-based management in the context of unexplained infertility, highlighting its potential to improve clinical decision-making and patient outcomes.

Indexed as

expectant managementintra-uterine inseminationin vitro fertilizationlive birthprediction modelsprognostic modelsunexplained infertility

Identifiers

PMID38716407
PMCPMC11075788

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Registered trials

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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.