ReviewClinical epidemiology2017
A systematic literature review on the efficacy-effectiveness gap: comparison of randomized controlled trials and observational studies of glucose-lowering drugs.
Review in Clinical epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled 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.
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.
Who cites it
16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 31 citations in OpenAlex.
- Healthcare outcomes assessed with observational study designs compared with those assessed in randomized trials: a meta-epidemiological study.The Cochrane database of systematic reviews · 2024Pooled it
- Discontinuation of non-anti-TNF drugs for rheumatoid arthritis in interventional versus observational studies: a systematic review and meta-analysis.European journal of clinical pharmacology · 2018Pooled it
- Use of the PRECIS-II instrument to categorize reports along the efficacy-effectiveness spectrum in an hepatitis C virus care continuum systematic review and meta-analysis.Journal of clinical epidemiology · 2018Pooled it
- Efficacy gap between phase II and subsequent phase III studies in oncology.British journal of clinical pharmacology · 2020Trial
- The Use of Real-World Data for Estimating Relative Treatment Effects in NICE Health Technology Assessment Submissions: A Review.PharmacoEconomics · 2025Review
- Uncovering the Relationship Between Statins and Muscle Problems in the ELSA-Brasil MSK Cohort.Cardiovascular drugs and therapy · 2024Article
- Design, implementation, and inferential issues associated with clinical trials that rely on data in electronic medical records: a narrative review.BMC medical research methodology · 2023Review
- The Efficacy of a Diet Low in Fermentable Oligo-, Di-, Monosaccharides, and Polyols in Irritable Bowel Syndrome Compared to Its "Real-world" Effectiveness: Protocol for a Systematic Review.JMIR research protocols · 2023Article
- Health economic evidence for adjuvant chemotherapy in stage II and III colon cancer: a systematic review.Cost effectiveness and resource allocation : C/E · 2023Article
- Real-world evidence for the long-term effect of allergen immunotherapy: Current status on database-derived European studies.Allergy · 2022Review
- Outcome Prediction at Patient Level Derived from Pre-Treatment 18F-FDG PET Due to Machine Learning in Metastatic Melanoma Treated with Anti-PD1 Treatment.Diagnostics (Basel, Switzerland) · 2022Article
- Real World Data in Health Technology Assessment of Complex Health Technologies.Frontiers in pharmacology · 2022Article
- Patient-Level Effectiveness Prediction Modeling for Glioblastoma Using Classification Trees.Frontiers in pharmacology · 2019Article
- Retrospective Cohort Study: Ledipasvir-Sofosbuvir With/Without Ribavirin for Chronic Hepatitis C Post-Liver Transplant in a Real-World Population.The Journal of pharmacy technology : jPT : official publication of the Association of Pharmacy Technicians · 2018Article
- Article
- The use of random-effects models to identify health care center-related characteristics modifying the effect of antipsychotic drugs.Clinical epidemiology · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo identify a potential efficacy-effectiveness gap and possible explanations (drivers of effectiveness) for differences between results of randomized controlled trials (RCTs) and observational studies investigating glucose-lowering drugs.
methodsA systematic literature review was conducted in English language articles published between 1 January, 2000 and 31 January, 2015 describing either RCTs or observational studies comparing glucagon-like peptide-1 analogs (GLP-1) with insulin or comparing dipeptidyl peptidase-4 inhibitors (DPP-4i) with sulfonylurea, all with change in glycated hemoglobin (HbA1c) as outcome. Medline, Embase, Current Content, and Biosis were searched. Information on effect estimates, baseline characteristics of the study population, publication year, study duration, and number of patients, and for observational studies, characteristics related to confounding adjustment and selection- and information bias were extracted.
resultsFrom 312 hits, 11 RCTs and 7 observational studies comparing GLP-1 with insulin, and from 474 hits, 16 RCTs and 4 observational studies comparing DPP-4i with sulfonylurea were finally included. No differences were observed in baseline characteristics of the study populations (age, sex, body mass index, time since diagnosis of type 2 diabetes mellitus, and HbA1c) or effect sizes across study designs. Mean effect sizes ranged from -0.43 to 0.91 and from -0.80 to 1.13 in RCTs and observational studies, respectively, comparing GLP-1 with insulin, and from -0.13 to 2.70 and -0.20 to 0.30 in RCTs and observational studies, respectively, comparing DPP-4i and sulfonylurea. Generally, the identified observational studies held potential flaws with regard to confounding adjustment and selection- and information bias.
conclusionsNeither potential drivers of effectiveness nor an efficacy-effectiveness gap were identified. However, the limited number of studies and potential problems with confounding adjustment, selection- and information bias in the observational studies, may have hidden a true efficacy-effectiveness gap.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.