Evidence map›Paper›PMID 22071815›Full record

SynthesisThe Cochrane database of systematic reviews2011

Risk scoring systems for predicting preterm birth with the aim of reducing associated adverse outcomes.

Mary-Ann Davey, Lyndsey Watson, Jo Anne Rayner, Shelley Rowlands

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in The Cochrane database of systematic reviews, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
–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

13 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. A Preconception Nomogram to Predict Preterm Delivery.Maternal and child health journal · 2017
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  9. Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Mary-Ann Davey1Mother and Child Health Research, La Trobe University, Melbourne, Australia. m.davey@latrobe.edu.au
Lyndsey Watson
Jo Anne Rayner
Shelley Rowlands

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdentification of pregnancies that are higher risk than average is important to allow the possibility of interventions aimed at preventing adverse outcomes like preterm birth. Many scoring systems designed to classify the risk of a number of poor pregnancy outcomes (e.g. perinatal mortality, low birthweight, and preterm birth) have been developed, but they have usually been introduced without evaluation of their utility and validity.

objectivesTo determine whether the use of a risk-screening tool designed to predict preterm birth (in combination with appropriate consequent interventions) reduces the incidence of preterm birth and very preterm birth, and associated adverse outcomes. SEARCH

methodsWe searched the Cochrane Pregnancy and Childbirth Group's Trials Register (December 2010), CENTRAL (The Cochrane Library 2010, Issue 4), MEDLINE (1966 to 17 December 2010), EMBASE (1974 to 17 December 2010), and CINAHL (1982 to 17 December 2010). SELECTION CRITERIA: All randomised or quasi-randomised (including cluster-randomised) or controlled clinical trials that compared the incidence of preterm birth between groups that used a risk scoring instrument to predict preterm birth with those who used an alternative instrument, or no instrument; or that compared the use of the same instrument at different gestations. The reports may have been published in peer reviewed or non-peer reviewed publications, or not published, and written in any language. DATA COLLECTION AND ANALYSIS: All review authors planned to independently assess for inclusion all the potential studies we identified as a result of the search strategy. However, we identified no eligible studies. MAIN

resultsExtensive searching revealed no trials of the use of risk scoring systems to prevent preterm birth. AUTHORS'

conclusionsThe role of risk scoring systems in the prevention of preterm birth is unknown.There is a need for prospective studies that evaluate the use of a risk-screening tool designed to predict preterm birth (in combination with appropriate consequent interventions) to prevent preterm birth, including qualitative and/or quantitative evaluation of their impact on women's well-being. If these prove promising, they should be followed by an adequately powered, well-designed randomised controlled trial.

Indexed as

Pregnancy, High-RiskFemaleHumansPregnancyPremature BirthRisk Assessment

Identifiers

What OpenQuestion 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 OpenQuestion graph.