Evidence map›Paper›PMID 18704701›Full record

ArticleEuropean journal of epidemiology2008

Problems in using incidence to analyze risk factors in follow-up studies.

J Pekkanen, J Sunyer

Abstract read
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In one paragraph

Article in European journal of epidemiology, 2008. 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
12.0field-weighted citation impact, top 2% 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

12 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. New studies, technology, and the progress of epidemiology.European journal of epidemiology · 2010
    Article
  7. Article
  8. The Generation R Study: design and cohort update 2010.European journal of epidemiology · 2010
    Article
  9. Early influences on cardiovascular and renal development.European journal of epidemiology · 2010
    Review
  10. Article
  11. The Rotterdam Study: 2010 objectives and design update.European journal of epidemiology · 2009
    Article
  12. Recent trends in cardiovascular epidemiology.European journal of epidemiology · 2009
    Article
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 at 2 institutions in 3 countries.

J PekkanenEnvironmental Epidemiology Unit, National Public Health Institute, P.O. Box 95, 70701 Kuopio, Finland. Juha.Pekkanen@ktl.fi
J Sunyer
Center for Research in Environmental Epidemiology · ESUniversity of Eastern Finland · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The most common practice to analyze epidemiological follow-up studies is to analyze risk factors of new, i.e. incident, cases of disease. However, analysis of incidence assumes that diseases exist in true dichotomies, which is unlikely to be true. It has also recently been shown that in many typical situations it is very difficult to separate the association between risk factors of disease at baseline and during follow-up using analyses of incidence. Situation is especially problematic for diseases that have large misclassification and low incidence, like asthma. We suggest that reliance on analysis of incidence may be a major obstacle into discovering causes of such disease. Only with greater attention into how to define and how to analyze prospective studies are we likely to learn sufficiently of risk factors of such disease to finally arrive at means for their prevention.

Indexed as

Follow-Up StudiesAsthmaCausalityChronic DiseaseHealth StatusHumansIncidenceRisk Factors

Identifiers

PMID18704701
OpenAlexW2162994394

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.