Evidence map›Paper›PMID 35534766›Full record

ReviewReproductive sciences (Thousand Oaks, Calif.)2022

Vision for Improving Pregnancy Health: Innovation and the Future of Pregnancy Research.

James M Roberts, Dominik Heider, Lina Bergman, Kent L Thornburg

Open access · hybridAbstract readReview
In one paragraph

Review in Reproductive sciences (Thousand Oaks, Calif.), 2022. 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
2.4field-weighted citation impact, top 11% of its field
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, 13 citations in OpenAlex.

  1. Observational
  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

4 authors at 4 institutions in 4 countries.

James M RobertsDepartment of Obstetrics Gynecology and Reproductive Sciences, Magee-Womens Research Institute, Epidemiology and Clinical and Translational Research University of Pittsburgh, Pittsburgh, PA, USA. jroberts@mwri.magee.edu.ORCID 0000-0002-2671-3207
Dominik HeiderFaculty of Mathematics and Computer Science, University of Marburg, Marburg, Germany.ORCID 0000-0002-3108-8311
Lina BergmanDepartment of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0001-5202-9428
Kent L ThornburgDepartments of Medicine, Obstetrics and Gynecology and Biomedical Engineering, Bob and Charlee Moore Institute for Nutrition and Wellness, Knight Cardiovascular Institute, Oregon Health Sciences University, Portland, OR, USA.ORCID 0000-0002-5561-4785
Oregon Health & Science University · USPhilipps University of Marburg · DEUniversity of Pittsburgh · USUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding, predicting, and preventing pregnancy disorders have been a major research target. Nonetheless, the lack of progress is illustrated by research results related to preeclampsia and other hypertensive pregnancy disorders. These remain a major cause of maternal and infant mortality worldwide. There is a general consensus that the rate of progress toward understanding pregnancy disorders lags behind progress in other aspects of human health. In this presentation, we advance an explanation for this failure and suggest solutions. We propose that progress has been impeded by narrowly focused research training and limited imagination and innovation, resulting in the failure to think beyond conventional research approaches and analytical strategies. Investigations have been largely limited to hypothesis-generating approaches constrained by attempts to force poorly defined complex disorders into a single "unifying" hypothesis. Future progress could be accelerated by rethinking this approach. We advise taking advantage of innovative approaches that will generate new research strategies for investigating pregnancy abnormalities. Studies should begin before conception, assessing pregnancy longitudinally, before, during, and after pregnancy. Pregnancy disorders should be defined by pathophysiology rather than phenotype, and state of the art agnostic assessment of data should be adopted to generate new ideas. Taking advantage of new approaches mandates emphasizing innovation, inclusion of large datasets, and use of state of the art experimental and analytical techniques. A revolution in understanding pregnancy-associated disorders will depend on networks of scientists who are driven by an intense biological curiosity, a team spirit, and the tools to make new discoveries.

Indexed as

HypertensionPre-EclampsiaPregnancy ComplicationsFemaleHumansInfantInfant MortalityPregnancyArtificial intelligenceInnovationPreeclampsiaResearchTraining

Identifiers

PMID35534766
PMCPMC9537127
OpenAlexW4229446614

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.