Evidence map›Paper›PMID 18690362›Full record

ArticleMethods of information in medicine2008

Informatics and medicine--from molecules to populations.

K A Kuhn, A Knoll, H-W Mewes, M Schwaiger, A Bode, M Broy, H Daniel, H Feussner, R Gradinger, H Hauner and 22 more

Abstract read
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In one paragraph

Article in Methods of information in medicine, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Biomedical informatics and translational medicine.Journal of translational medicine · 2010
    Review
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

32 authors.

K A KuhnTechnische Universität München, Munich, Germany. klaus.kuhn@lrz.tum.de
A Knoll
H-W Mewes
M Schwaiger
A Bode
M Broy
H Daniel
H Feussner
R Gradinger
H Hauner
H Höfler
B Holzmann
A Horsch
A Kemper
H Krcmar
E F Kochs
R Lange
R Leidl
U Mansmann
E W Mayr
T Meitinger
M Molls
N Navab
F Nüsslin
C Peschel
M Reiser
J Ring
E J Rummeny
J Schlichter
R Schmid
H E Wichmann
S Ziegler

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo clarify challenges and research topics for informatics in health and to describe new approaches for interdisciplinary collaboration and education.

methodsResearch challenges and possible solutions were elaborated by scientists of two universities using an interdisciplinary approach, in a series of meetings over several months. RESULTS AND

conclusionIn order to translate scientific results from bench to bedside and further into an evidence-based and efficient health system, intensive collaboration is needed between experts from medicine, biology, informatics, engineering, public health, as well as social and economic sciences. Research challenges can be attributed to four areas: bioinformatics and systems biology, biomedical engineering and informatics, health informatics and individual healthcare, and public health informatics. In order to bridge existing gaps between different disciplines and cultures, we suggest focusing on interdisciplinary education, taking an integrative approach and starting interdisciplinary practice at early stages of education.

Indexed as

Biomedical ResearchMedical InformaticsPublic Health InformaticsEvidence-Based MedicineResearch

Identifiers

PMID18690362

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.