Cómo valorar e interpretar un artículo sobre pronóstico

D, Carlos Manterola; A, Carmen Santander; Otzen, Támara

doi:10.4067/s0718-40262013000100015

Cited by 7 publications

(6 citation statements)

References 14 publications

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“…Although the risk of this bias appearing is intimately linked to clinical research 18 , few researchers are aware of the biases from which they may suffer. The most well-known selection biases are Berkson's or Neymann's bias, among others 19,20 , but there are other groups such as information, measurement, etc., which were not mentioned. Regarding this, one study showed that out of 704 articles, only 514 (73%) had the help of an expert in methodology and statistics.…”

Section: Discussionmentioning

confidence: 99%

Do clinical trials meet current care needs? Views of digestive oncology specialists in Galicia (Spain) using the Delphi method

Montes

Lago

Gómez

et al. 2021

Preprint

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Background: In recent years, abundant scientific evidence has been generated based on clinical trials (CT) in the field of oncology. In spite of this, there are still major disagreements among the group when it comes to establishing a treatment and therapies for these kinds of patients. The general objective of this paper is to find out the extent to which decision-making is based on knowledge of the most recent CT. Its specific objectives are to pinpoint difficulties with decision-making based on the CT performed and find out the motivations patients and clinicians have when taking part in a CT.Methodology: Combined, prospective study, based on the Delphi method.Results: A lack of correspondence between the people who take part in CT and patients who come for consultation has been identified. Healthcare professionals' motivations for taking part in a CT include finding better treatment for the patient and boosting their research career. A need for training in analysing and interpreting CT has also been identified and a lack of trust in the results of CT financed by the pharmaceutical industry itself has been perceived. Conclusion: There is a difficulty in selecting oncological treatment due to the lack of correspondence between the patients included in the CT and patients seen in consultation. In this process, real world data studies may be highly useful, as may be providing this group with greater training in interpreting CT and their results. Aiding the professional progression of their research career is an incentive for clinicians to participate in a CT.

show abstract

Section: Discussionmentioning

confidence: 99%

Do clinical trials meet current care needs? Views of digestive oncology specialists in Galicia (Spain) using the Delphi method

Montes

Lago

Gómez

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Although the risk of this bias appearing is intimately linked to clinical research [22], few researchers are aware of the biases from which they may suffer. The most well-known selection biases are Berkson's or Neymann's bias, among others [23,24], but there are other groups such as information, measurement, etc., which were not mentioned. Regarding this, one study showed that out of 704 articles, only 514 (73%) had the help of an expert in methodology and statistics.…”

Section: Discussionmentioning

confidence: 99%

Do Clinical Trials Meet Current Care Needs? Views of Digestive Oncology Specialists in Galicia (Spain) Using the Delphi Method

et al. 2021

View full text Add to dashboard Cite

Background: In recent years, abundant scientific evidence has been generated based on clinical trials (CT) in the field of oncology. The general objective of this paper is to find out the extent to which decision making is based on knowledge of the most recent CT. Its specific objectives are to pinpoint difficulties with decision making based on the CT performed and find out the motivations patients and clinicians have when taking part in a CT. Methodology: Combined, prospective study, based on the Delphi method. A lack of correspondence between the people who take part in CT and patients who come for consultation has been identified. A need for training in analysing and interpreting CT has also been identified and a lack of trust in the results of CT financed by the pharmaceutical industry itself has been perceived. Conclusions: There is a difficulty in selecting oncological treatment due to the lack of correspondence between the patients included in the CT and patients seen in consultation. In this process, real world data studies may be highly useful, as they may provide this group with greater training in interpreting CT and their results.

show abstract

“…Constituye información relevante para el paciente y sus familiares, y es indispensable al momento de plantear opciones terapéuticas y planificar adecuadamente la administración de recursos 17 . El principal factor pronóstico a considerar en adenocarcinoma de páncreas es el grado de avance de la enfermedad al momento del diagnóstico, lo que condiciona a su vez la opción de tratamiento curativo, cual es la cirugía 7 .…”

Section: Discussionunclassified