Medical research often takes a long time to reach the public. A new study protocol is being developed to understand why this happens. It will look at the time between when a paper is finished and when it appears online. This gap is called publication lag. The plan is to review high-quality medical journals and systematic reviews published between 2023 and 2025. Researchers want to see if slow publishing is a real problem or just a side effect of complex science. They will check how well journals follow timeliness rules and what causes these delays. The study will not report on safety because it is a planning document, not a finished trial. It is important to remember that a long wait does not always mean the journal is slow. Sometimes the authors need more time to fix their work before it can be published. High-performing journals might hide these delays because they are very efficient at their own tasks. This new work aims to separate the real issues from the noise.
Protocol for a meta-epidemiological study on publication lag in systematic reviewsNew study protocol looks at why medical papers take so long to appear online
AI-generated summary of the cited source, checked by automated accuracy review. How we work
Key Takeaway
Consider that publication lag in systematic reviews may reflect both author and editorial processes.
This document is a protocol for a meta-epidemiological study. Its scope is to analyze publication lag—the interval from last search date to online publication—in interventional, RCT-based meta-analyses published in top-tier general medical journals and the Cochrane Database of Systematic Reviews (CDSR) between 2023 and 2025. The study will also assess compliance with AMSTAR 2 timeliness standards and identify independent predictors of publication delay.
The authors do not report main results, as this is a protocol. They acknowledge key limitations, including reliance on publicly available dates, which precludes a granular distinction between author-related revisions and editorial processing durations. They also note that observed lag may overstate editorial inefficiency if journals attract more complex reviews requiring extensive author revisions, and that high-performance editorial workflows might mask prolonged author delays.
Practice relevance is not reported. The protocol does not describe a specific study population, intervention, comparator, or adverse events, as these details are not provided in the source.
What this means for you:
This protocol checks if long waits for medical papers are due to journal delays or author revisions. View Original Abstract ↓
IntroductionSystematic reviews and meta-analyses serve as the cornerstone of clinical guidelines, yet their validity hinges on the currency of the included evidence. The publication lag measured as the interval from the last search date to online publication remains unclear in top-tier general medical journals and the Cochrane Database of Systematic Reviews (CDSR). Existing data are largely outdated and lack exploration of associated factors. Our study aims to fill this gap by quantifying the current publication lag in top-tier general medical journals and the CDSR and identifying its independent predictors.MethodsThis meta-epidemiological study will analyze interventional, RCT-based meta-analyses published in top-tier general medical journals and the CDSR between 2023 and 2025. We will calculate the publication lag, assess compliance with AMSTAR 2 timeliness standards, and compare the performance between top-tier general medical journals and the CDSR. Multivariable regression analysis will be employed to determine independent factors which associated with the extent of publication delay.DiscussionOur study will systematically quantify the current status and determinants of publication lag in top-tier general medical journals and the CDSR. While our reliance on publicly available dates precludes a granular distinction between author-related revisions and editorial processing durations, this limitation may introduce information bias. Specifically, if certain journals attract more complex reviews requiring extensive author revisions, the observed lag may overstate editorial inefficiency. Conversely, high-performance editorial workflows might mask prolonged author delays. By acknowledging these potential directions of bias, our findings will provide a more nuanced, actionable framework for assessing evidence currency.Systematic review registrationhttps://osf.io/cjtk.
Late-onset rheumatoid arthritis shows higher DAS28 scores and lower remission rates compared to young-onset disease in a meta-analysis
Meta-analysis compares treatment outcomes in older versus younger rheumatoid arthritis patients
Related in Rheumatology
Long-term personalized exercise therapy shows potential cost-effectiveness for patients with axial spondyloarthritis
Personalized exercise therapy shows promise for axial spondyloarthritis patients
Researchers evaluated the cost-utility of long-term, personalized exercise therapy compared to usual care in patients with axial spondyloart…
New research looks at whether personalized, long-term exercise programs are a cost-effective way to manage severe axial spondyloarthritis.
EmiratesMEDs competency framework establishes 9 thematic roles and 14 EPAs for UAE medical education
New UAE framework sets 85 competencies for medical graduates
This guideline outlines the EmiratesMEDs competency framework designed to harmonize undergraduate medical education in the United Arab Emira…
A national competency framework for UAE medical graduates defines 85 skills and 14 clinical tasks to standardize education.
Esketamine significantly reduces postoperative anxiety (SMD -1.23) and depressive symptoms (SMD -0.92) in adult patients
Esketamine reduces anxiety and depression after surgery
This meta-analysis of 1,312 adults undergoing general anesthesia found that esketamine significantly reduced both anxiety and depression pos…
New data shows esketamine can significantly lower feelings of anxiety and depression in adults following surgery.
Machine learning and postoperative indicators improve AUC for predicting anastomotic leak in gastric cancer surgery
Machine Learning Models May Better Predict Gastric Cancer Complications
This systematic review and meta-analysis of 18 studies involving 15,783 patients evaluated risk prediction models for anastomotic leak. The …
New analysis shows machine learning models may offer better accuracy in predicting surgical complications for patients with gastric cancer.
From Other Specialties
Meningeal Immune System Offers New Target for Glioblastoma Immunotherapy
New approach targets the immune system to treat brain tumors
This systematic review explores how targeting the meningeal immune system, including dural lymphatics and rBAMs, could overcome current barr…
A new strategy focuses on the area where brain tumors meet the body's defenses to improve how immunotherapy works for glioblastoma.
A 6 dimension and 42 item system provides early risk assessment for high-risk diabetic feet
Experts Develop New Risk Assessment System for Diabetic Feet
This expert consultation and guideline describes the development of an early risk assessment system for high-risk diabetic feet. The consens…
A new assessment system identifies risk factors like nerve damage and circulation to help manage and prevent complications in patients with …
Rapid advancements in imaging and blood-based biomarkers are transforming the diagnosis and management of ADRD
New guidelines help doctors tell delirium from dementia
This clinical guideline provides a narrative review on the evolving diagnostic and treatment landscape for Alzheimer's disease and related d…
Delirium is acute and fluctuating; dementia is chronic. New guidelines help doctors tell them apart.
ACTH and vigabatrin achieved full seizure control in a patient with Ververi-Brady syndrome
ACTH and Vigabatrin Show Promise for Rare Epilepsy Syndrome
This case report describes a 5-month-old male infant with Ververi-Brady syndrome and infantile epileptic spasms syndrome. The patient achiev…
A new gene variant linked to Ververi-Brady syndrome showed positive results when treated with a combination of ACTH and vigabatrin.