Evidence map›Paper›PMID 42877083›Full record

ArticleFrontiers in reproductive health2026

Investigation into biomarkers to predict preterm birth (INSIGHT): a longitudinal UK pregnancy cohort for spontaneous preterm birth research.

Raphaella Jackson, Carlotta Valensin, Evonne Chin-Smith, Natalie Suff, Andrew H Shennan, Natasha L Hezelgrave, Rachel M Tribe

Abstract read
In one paragraph

Article in Frontiers in reproductive health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Raphaella JacksonDepartment of Women and Children's Health, King's College London, London, United Kingdom.
Carlotta ValensinDepartment of Women and Children's Health, King's College London, London, United Kingdom.
Evonne Chin-SmithDepartment of Women and Children's Health, King's College London, London, United Kingdom.
Natalie SuffDepartment of Women and Children's Health, King's College London, London, United Kingdom.
Andrew H ShennanDepartment of Women and Children's Health, King's College London, London, United Kingdom.
Natasha L HezelgraveDepartment of Women and Children's Health, King's College London, London, United Kingdom.
Rachel M TribeDepartment of Women and Children's Health, King's College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Spontaneous preterm birth (sPTB) remains a leading cause of perinatal morbidity and mortality worldwide. Progress in prediction and prevention has been limited by the biological heterogeneity of sPTB and a lack of longitudinal pregnancy cohorts integrating detailed clinical phenotyping with serial biological sampling. The INSIGHT study was established to enable mechanistic and biomarker-driven investigation of sPTB, with a focus on inflammatory pathways associated with cervical shortening. Methods: INSIGHT is a prospective, multicentre UK pregnancy cohort that was active between 2013 and 2024 (recruitment finished in 2023). Pregnant women were recruited between 10 Results: A total of 2,272 women were enrolled and completed the study, spanning a broad sociodemographic background and risk spectrum, with 1,317 (58%) classified as high-risk of preterm birth. The cohort captured a high incidence of sPTB in singleton pregnancies ( Conclusion: INSIGHT provides a large, deeply phenotyped pregnancy cohort enriched for sPTB, integrating longitudinal clinical data with serial multiomic biological sampling. The study infrastructure supports discovery-driven and translational research into the mechanisms underlying sPTB and the development and independent validation of clinically scalable biomarker-based prediction strategies.

Indexed as

bioresourcecohort profilelongitudinal studymulti-omicspregnancypreterm (birth)

Identifiers

PMID42877083
PMCPMC13661963

What Socratic holds

Textmetadata
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 Socratic graph.