Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

267
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
267
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

405
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
405
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

723
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
723
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

642
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
642
Cancer Survival Analysis01:21

Cancer Survival Analysis

529
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
529
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

224
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
224

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Goal-oriented practices in youth mental health and wellbeing settings: A scoping review and thematic analysis of empirical evidence.

Psychology and psychotherapy·2024
Same author

Association Between Objective Sleep and Clinical Outcomes in Older Adults With Low Back Pain Receiving Physical Therapy Care: A Secondary Analysis of a Responsiveness Study.

Journal of aging and physical activity·2024
Same author

Protocol for the development of a tool (INSPECT-SR) to identify problematic randomised controlled trials in systematic reviews of health interventions.

BMJ open·2024
Same author

Sleep as a prognostic factor in low back pain: a systematic review of prospective cohort studies and secondary analyses of randomized controlled trials.

Sleep·2024
Same author

Contexts, behavioural mechanisms and outcomes to optimise therapeutic exercise prescription for persistent low back pain: a realist review.

British journal of sports medicine·2024
Same author

Harm reduction strategies in acute care for people who use alcohol and/or drugs: A scoping review.

PloS one·2023
Same journal

Book Club at a medical school in the Sertão Region of Rio Grande do Norte State, Brazil.

Journal of the Medical Library Association : JMLA·2026
Same journal

Implementing a Spanish Wikipedia elective for medical students.

Journal of the Medical Library Association : JMLA·2026
Same journal

Comparing the performance of narrow vs. broad search strategies when using machine learning-based software for title/abstract screening.

Journal of the Medical Library Association : JMLA·2026
Same journal

Expert-recommended tasks for hospital librarians during a healthcare system merger or acquisition: an e-Delphi consensus statement.

Journal of the Medical Library Association : JMLA·2026
Same journal

Building an interactive dashboard to visualize institutional open access publishing trends.

Journal of the Medical Library Association : JMLA·2026
Same journal

Evaluating automated or artificial intelligence search tools for evidence synthesis.

Journal of the Medical Library Association : JMLA·2026
See all related articles

Related Experiment Video

Updated: Nov 22, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.9K

Search methods for prognostic factor systematic reviews: a methodologic investigation.

Leah Boulos1, Rachel Ogilvie2, Jill A Hayden3

  • 1LeahM.Boulos@nshealth.ca, Evidence Synthesis Coordinator, Maritime SPOR SUPPORT Unit, Halifax, NS, Canada.

Journal of the Medical Library Association : JMLA
|January 11, 2021
PubMed
Summary
This summary is machine-generated.

Supplementary search methods are crucial for comprehensive systematic reviews of prognostic factors. Relying solely on broad or focused electronic searches risks missing vital studies, impacting meta-analysis conclusions.

More Related Videos

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.4K
Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

10.6K

Related Experiment Videos

Last Updated: Nov 22, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.9K
An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.4K
Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

10.6K

Area of Science:

  • Systematic review methodology
  • Evidence synthesis
  • Health research methods

Background:

  • Systematic reviews of prognostic factors face challenges in comprehensive literature searching.
  • The Cochrane Library published an early systematic review on prognostic factors in 2019.
  • This study retrospectively examines the search strategy of that 2019 review.

Purpose of the Study:

  • To evaluate the effectiveness of supplementary search methods in systematic reviews of prognostic factors.
  • To assess the impact of different search strategies on study recall and meta-analysis outcomes.
  • To analyze the performance of prognosis filters in identifying relevant literature.

Main Methods:

  • Compared broad versus focused electronic search strategies for recall.
  • Linked eligible studies to their original search methods.
  • Analyzed the influence of supplementary searches on meta-analysis conclusions.
  • Evaluated the sensitivity and specificity of prognosis filters.

Main Results:

  • A focused electronic search strategy reduced recall by 91% compared to a broader strategy.
  • Without supplementary methods, 23 of 58 eligible MEDLINE-indexed studies would have been missed.
  • Omitting supplementary searches would have altered meta-analysis results.
  • The tested prognosis filter demonstrated high sensitivity.

Conclusions:

  • Supplementary search methods are essential for minimizing missed studies in prognostic factor reviews.
  • Broader search strategies alone do not compensate for the omission of supplementary methods.
  • The findings support existing recommendations for employing multiple search techniques in systematic reviews.