Evidence map›Paper›PMID 38404030›Full record

ReviewRevista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia2024

Clinical study types and guidance for their correct post-pandemic interpretation.

M Martínez-Sellés, L Prieto-Valiente

Abstract readReview
In one paragraph

Review in Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

M Martínez-SellésManuel Martínez-Sellés. Cardiology Service, Hospital General Universitario Gregorio Marañón, C/ del Dr. Esquerdo 46, 28007, Madrid. Spain. mmselles@secardiologia.es.
L Prieto-Valiente

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Randomized clinical trials (RCTs) are key to the advancement of medicine and microbiology, but they are not the only option. Observational studies provide information on long-term efficacy and safety, are less expensive, allow the study of rare events, and obtain information more quickly than RCTs. On the other hand, they are more vulnerable to confounding factors. Prospective exploratory pilot studies share many aspects with RCTs but are not subject to supervision by external commissions or mandatory registration. Multitesting can pervert the balance of publications in favor of the desired effect. Bonferroni's reasoning shows that if 10 studies are performed with an ineffective antibiotic, the probability that at least one will show P <0.05 might be 40%. Scenarios in which there is intensive pressure to perform research, such as the recent pandemic, might result in many research teams trying to study the effect of an antimicrobial. Even if the drug has no efficacy, if 100 research teams conduct a study to assess its usefulness, it might be virtually certain that at least one will get a P value <0.05. If the other studies (with P >0.05) are not published, the scientific commu nity would consider that there is strong evidence in favor of its usefulness. In conclusion, RCTs are a very good source of clinical information, but are not the only one. The systematic registration of all research can and should be applied to all types of clinical studies.

Indexed as

Randomized Controlled Trials as TopicCOVID-19HumansObservational Studies as TopicPandemicsProspective StudiesResearch Designclinical trialsmethodologystatistics

Identifiers

PMID38404030
PMCPMC11094635

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.