Evidence map›Paper›PMID 32021914›Full record

ArticleReproductive biomedicine & society online2019

It takes a community to conceive: an analysis of the scope, nature and accuracy of online sources of health information for couples trying to conceive.

Sophie G E Kedzior, Tina Bianco-Miotto, James Breen, Kerrilyn R Diener, Martin Donnelley, Kylie R Dunning, Megan A S Penno, John E Schjenken, David J Sharkey, Nicolette A Hodyl and 4 more

Abstract read
In one paragraph

Article in Reproductive biomedicine & society online, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  5. Article
  6. Article
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  8. Article
  9. Fertility education: what's trending on Instagram.Fertility research and practice · 2021
    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

14 authors.

Sophie G E KedziorRobinson Research Institute, Adelaide Medical School, University of Adelaide, Australia.
Tina Bianco-MiottoRobinson Research Institute, Adelaide Medical School, University of Adelaide, Australia.
James BreenRobinson Research Institute, Adelaide Medical School, University of Adelaide, Australia.
Kerrilyn R DienerRobinson Research Institute, Adelaide Medical School, University of Adelaide, Australia.
Martin DonnelleyRobinson Research Institute, Adelaide Medical School, University of Adelaide, Australia.
Kylie R DunningRobinson Research Institute, Adelaide Medical School, University of Adelaide, Australia.
Megan A S PennoRobinson Research Institute, Adelaide Medical School, University of Adelaide, Australia.
John E SchjenkenRobinson Research Institute, Adelaide Medical School, University of Adelaide, Australia.
David J SharkeyRobinson Research Institute, Adelaide Medical School, University of Adelaide, Australia.
Nicolette A HodylRobinson Research Institute, Adelaide Medical School, University of Adelaide, Australia.
Tod FullstonRobinson Research Institute, Adelaide Medical School, University of Adelaide, Australia.
Maria GardinerSchool of Psychology, Flinders University of South Australia, Adelaide, Australia.
Hannah M BrownARC Centre for Nanoscale Biophotonics, University of Adelaide, Adelaide, Australia.
Alice R RumboldRobinson Research Institute, Adelaide Medical School, University of Adelaide, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined the nature and accuracy of information available across online platforms for couples trying to conceive. A consumer simulation-based investigation of English websites and social media (Facebook, Twitter, Instagram) was undertaken using common search terms identified in a pilot study. Claims about fertility and pregnancy health were then extracted from the results and analysed thematically. The accuracy of each claim was assessed independently by six fertility and conception experts, rated on a scale of 1 (not factual) to 4 (highly factual), with scores collated to produce a median rating. Claims with a median score < 3 were classified as inaccurate. The use of the terms 'trying to conceive' and '#TTC' were common identifiers on online platforms. Claims were extracted predominantly from websites (

Indexed as

accuracyconceptionfertilityinternetsocial media

Identifiers

PMID32021914
PMCPMC6994282

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.