Evidence map›Paper›PMID 37431437›Full record

ArticleJCPP advances2021

The importance of selection bias in prospective birth cohort studies.

Henrik Larsson

Abstract readEditorial
In one paragraph

Article in JCPP advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

1 author.

Henrik LarssonSchool of Medical Sciences Örebro University Örebro Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sophisticated statistical analyses of data from large-scale prospective birth cohort studies combined with thoughtful study designs have advanced understanding about the causes, consequences and developmental course of child and adolescent mental health problems. Available large-scale prospective cohort studies, such as ALSPAC, MoBA, and TEDS have many noteworthy strengths, but they all suffer from non-random non-participation and attrition over time. Recent findings have highlighted that prospective birth cohort studies need to carefully consider the importance of selection bias.

Indexed as

ALSPACnon‐participationprospective birth cohort studiesselection bias

Identifiers

PMID37431437
PMCPMC10242968

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.