Evidence map›Paper›PMID 25354061›Full record

ArticleRevista medica del Instituto Mexicano del Seguro Social

[Clinical research XXIV. From clinical judgment to ethics in research on humans].

Marcela Pérez-Rodríguez, Lino Palacios-Cruz, Rodolfo Rivas-Ruiz, Juan O Talavera

Abstract read
In one paragraph

Article in Revista medica del Instituto Mexicano del Seguro Social. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Marcela Pérez-RodríguezCentro de Adiestramiento en Investigación Clínica, Coordinación de Investigación en Salud, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Distrito Federal, México. marxelapr@gmail.com.
Lino Palacios-Cruz
Rodolfo Rivas-Ruiz
Juan O Talavera

Funding

Training Program in Research Ethics in the AmericasR25TW001605 · FIC · YESHIVA UNIVERSITY · PI LUNA, FLORENCIA · 2000 to 2025
$6.7M
FIC NIH HHS R25 TW001605
6 · The paper itself

Abstract

Bioethics in research is an essential part of the structured review process of an article and it is based on three fundamental principles: respect for persons, beneficence and justice. In addition to not providing valid knowledge, a research with inadequate design, execution and statistical analysis is not ethical either, since these methodological deficiencies will produce information that will not be useful and, therefore, the risks that the participants were exposed to will have been in vain. Beyond scientific validity, there are other aspects that outline if an investigation is ethical, such as the clinical and social value of a study, a fair selection of participants, favorable risk-benefit balance, an independent review, the informed consent and respect for participants and potential participants. Throughout the article here presented, the documents that profile the behavior of investigators to protect the participants, such as the Declaration of Helsinki, the national regulations that rule us and the differences between research without risk, with minimal risk and with greater than minimal risk are discussed. That like in daily life, behavior in research involving human participants must be self-regulated, ie, people with knowledge of the existence of the law discover that the man is outside the realm of nature where work is done under the necessity of natural causality, and falls within the scope of the will; only if the man is free to decide their actions may be a law regulating their action.

Indexed as

Bioethical IssuesBeneficenceDecision MakingHuman ExperimentationHumansInformed ConsentRisk AssessmentBeneficenceBioethicsInformed consent

Identifiers

PMID25354061
PMCPMC7380687

What OpenQuestion holds

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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.