Evidence map›Paper›PMID 24407880›Full record

ArticleEuropean journal of epidemiology2014

When the entire population is the sample: strengths and limitations in register-based epidemiology.

Lau Caspar Thygesen, Annette Kjær Ersbøll

Registry-linked trialAbstract read
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In one paragraph

Article in European journal of epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04601779 (INFANT HEALTH- Supporting Infants' Mental Health and Healthy Weight Development Through Community Health Nurses' Promoting Sensitive Parenting), which is not on this map. Cited by 256 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
256citing papers in PubMed, 5 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.

NCT04601779 nacompletednot on this mapstarted 2021, after this paper: background citation

INFANT HEALTH- Supporting Infants' Mental Health and Healthy Weight Development Through Community Health Nurses' Promoting Sensitive Parenting

TypeinterventionalSponsorUniversity of Southern DenmarkRan2021 to 2025Enrolled406ConditionsInfant Mental Health, Parenting, Parent-Child RelationsArmsVIPP-PUF
3 · Its place in the literature

Who cites it

256 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Article
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  8. Observational
  9. Does the initial surgical approach for SIP matter? EBM lesson: Kaplan-Meier Curve.Journal of perinatology : official journal of the California Perinatal Association · 2026
    Article
  10. Long-Term Healthcare-Related Costs Eight Years After Laparoscopic Roux-en-Y Gastric Bypass and Sleeve Gastrectomy: A Nationwide Register-Based Study.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2026
    Article
  11. Article
  12. Article
  13. The Aarhus bereavement study (TABstudy).European journal of epidemiology · 2026
    Article
  14. Article
  15. Article
  16. Article
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  18. Article
  19. Eye-related emergency calls and prehospital management in region Zealand, Danmark: a register-based cohort study.Scandinavian journal of trauma, resuscitation and emergency medicine · 2026
    Article
  20. Article

196 more citing papers are in PubMed but not listed here.

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

2 authors.

Lau Caspar ThygesenNational Institute of Public Health, University of Southern Denmark, Øster Farimagsgade 5 A, 1353, Copenhagen K, Denmark, lct@niph.dk.
Annette Kjær Ersbøll

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies based on databases, medical records and registers are used extensively today in epidemiological research. Despite the increasing use, no developed methodological literature on use and evaluation of population-based registers is available, even though data collection in register-based studies differs from researcher-collected data, all persons in a population are available and traditional statistical analyses focusing on sampling error as the main source of uncertainty may not be relevant. We present the main strengths and limitations of register-based studies, biases especially important in register-based studies and methods for evaluating completeness and validity of registers. The main strengths are that data already exist and valuable time has passed, complete study populations minimizing selection bias and independently collected data. Main limitations are that necessary information may be unavailable, data collection is not done by the researcher, confounder information is lacking, missing information on data quality, truncation at start of follow-up making it difficult to differentiate between prevalent and incident cases and the risk of data dredging. We conclude that epidemiological studies with inclusion of all persons in a population followed for decades available relatively fast are important data sources for modern epidemiology, but it is important to acknowledge the data limitations.

Indexed as

Epidemiologic StudiesRegistriesResearchBiasCohort StudiesConfounding Factors, EpidemiologicHumansPopulation Surveillance

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.