Evidence map›Paper›PMID 19099213›Full record

ArticleMedizinische Klinik (Munich, Germany : 1983)2008

[Ethical and empirical limitations of randomized controlled trials].

Franz Porzsolt, Hartmut Kliemt

Abstract readEnglish Abstract
PubMed Publisher
In one paragraph

Article in Medizinische Klinik (Munich, Germany : 1983), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
6.5field-weighted citation impact, top 4% 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

5 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. [Is "evidence-based medicine" followed by "confidence-based medicine"?].Medizinische Klinik (Munich, Germany : 1983) · 2010
    Review
  5. [Scientific evidence and the cost of innovations in the health-care system].Medizinische Klinik (Munich, Germany : 1983) · 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 1 country.

Franz PorzsoltKlinische Okonomik, Universität Ulm, Ulm, Germany. Franz.Porzsolt@uniklinik-ulm.de
Hartmut Kliemt
Frankfurt School of Finance & Management · DEUniversität Ulm · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In assessing the benefits of health services it is presumed that the relationship of cause and effect can be determined by scientific methods. In general, the randomized controlled trial (RCT) is considered the gold standard for the generation of scientific evidence. Yet there is an increasing amount of data indicating that not in all situations RCTs seem to be the adequate tool for generating evidence. In many instances, RCTs are, in fact, barely useful to reflect the real-world situation of health-care services. Some of the well-known yet mostly ignored limitations of RCTs are summarized.The absence of definite a priori preferences for a specific kind of intervention (equipoise) is an essential prerequisite for both physicians' and patients' consent to participate in an RCT. Numerous examples of quantitative studies confirm that the willingness to accept randomization is limited in operative disciplines. If it is true that the invasiveness of a diagnostic or therapeutic intervention correlates with the preferences of doctors and patients, the small number of RCTs in operative fields should be expected. Further development of the important concept of RCTs should specify the conditions under which RCTs can generate significant results. Paying attention to this will open up new perspectives for the assessment of health-care services.

Indexed as

Randomized Controlled Trials as TopicCohort StudiesHumansPatient SelectionUncertainty

Identifiers

PMID19099213
OpenAlexW1551157373

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.