SynthesisPloS one2013
The landscape of inappropriate laboratory testing: a 15-year meta-analysis.
Synthesis in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07629219 (Optimization of Low-Value Medical Testing Practices in Hospitalized Patients in Argentina), which is not on this map. Cited by 188 papers, 9 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.
Optimization of Low-Value Medical Testing Practices in Hospitalized Patients in Argentina (OPTIMIZAR)
Who cites it
188 citing papers in PubMed, 9 syntheses or guidelines pooled it.
- Interventions to reduce repetitive ordering of low-value inpatient laboratory tests: a systematic review.BMJ open quality · 2023Pooled it
- Strategies for utilisation management of hospital services: a systematic review of interventions.Globalization and health · 2022Pooled it
- Overuse of diagnostic testing in healthcare: a systematic review.BMJ quality & safety · 2022Pooled it
- Laboratory test ordering in inpatient hospitals: a systematic review on the effects and features of clinical decision support systems.BMC medical informatics and decision making · 2021Pooled it
- Audit and feedback to improve laboratory test and transfusion ordering in critical care: a systematic review.Implementation science : IS · 2020Pooled it
- Serum Tumor Markers in Paraneoplastic Neurologic Syndromes: A Systematic Review of Guidelines.Frontiers in neurology · 2020Pooled it
- Effectiveness of Practices to Support Appropriate Laboratory Test Utilization: A Laboratory Medicine Best Practices Systematic Review and Meta-Analysis.American journal of clinical pathology · 2018Pooled it
- Pooled it
- The effectiveness of interventions to improve laboratory requesting patterns among primary care physicians: a systematic review.Implementation science : IS · 2015Pooled it
- Clinical decision support improves the appropriateness of laboratory test ordering in primary care without increasing diagnostic error: the ELMO cluster randomized trial.Implementation science : IS · 2020Trial
- Effect of Social Comparison Feedback on Laboratory Test Ordering for Hospitalized Patients: A Randomized Controlled Trial.Journal of general internal medicine · 2018Trial
- Electronic Laboratory Medicine ordering with evidence-based Order sets in primary care (ELMO study): protocol for a cluster randomised trial.Implementation science : IS · 2017Trial
- Effect of a Price Transparency Intervention in the Electronic Health Record on Clinician Ordering of Inpatient Laboratory Tests: The PRICE Randomized Clinical Trial.JAMA internal medicine · 2017Trial
- Effect of audit and feedback with peer review on general practitioners' prescribing and test ordering performance: a cluster-randomized controlled trial.BMC family practice · 2017Trial
- Examining Test Order Appropriateness Using Mean Abnormal Result Rate in Inpatient and Outpatient Care: A Retrospective Cross-Sectional Study.Health science reports · 2026Article
- Continuous imputation of blood gas and metabolic panel laboratory values in the intensive care unit using machine learning.Journal of clinical monitoring and computing · 2026Article
- Integrating Sustainability into ISO 15189.Annals of laboratory medicine · 2026Article
- Optimization of protein electrophoresis test orders: results after the implementation of a protocol based on scientific recommendations.Advances in laboratory medicine · 2026Article
- From patient to planet: integrating climate impact into a hospital medicine initiative reducing blood urea nitrogen testing.BMJ open quality · 2026Article
- SmartAlert - Implementing Machine Learning-Driven Clinical Decision Support for Inpatient Laboratory Utilization Reduction.NEJM AI · 2026Article
128 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLaboratory testing is the single highest-volume medical activity and drives clinical decision-making across medicine. However, the overall landscape of inappropriate testing, which is thought to be dominated by repeat testing, is unclear. Systematic differences in initial vs. repeat testing, measurement criteria, and other factors would suggest new priorities for improving laboratory testing.
methodsA multi-database systematic review was performed on published studies from 1997-2012 using strict inclusion and exclusion criteria. Over- vs. underutilization, initial vs. repeat testing, low- vs. high-volume testing, subjective vs. objective appropriateness criteria, and restrictive vs. permissive appropriateness criteria, among other factors, were assessed.
resultsOverall mean rates of over- and underutilization were 20.6% (95% CI 16.2-24.9%) and 44.8% (95% CI 33.8-55.8%). Overutilization during initial testing (43.9%; 95% CI 35.4-52.5%) was six times higher than during repeat testing (7.4%; 95% CI 2.5-12.3%; P for stratum difference <0.001). Overutilization of low-volume tests (32.2%; 95% CI 25.0-39.4%) was three times that of high-volume tests (10.2%; 95% CI 2.6-17.7%; P<0.001). Overutilization measured according to restrictive criteria (44.2%; 95% CI 36.8-51.6%) was three times higher than for permissive criteria (12.0%; 95% CI 8.0-16.0%; P<0.001). Overutilization measured using subjective criteria (29.0%; 95% CI 21.9-36.1%) was nearly twice as high as for objective criteria (16.1%; 95% CI 11.0-21.2%; P = 0.004). Together, these factors explained over half (54%) of the overall variability in overutilization. There were no statistically significant differences between studies from the United States vs. elsewhere (P = 0.38) or among chemistry, hematology, microbiology, and molecular tests (P = 0.05-0.65) and no robust statistically significant trends over time.
conclusionsThe landscape of overutilization varies systematically by clinical setting (initial vs. repeat), test volume, and measurement criteria. Underutilization is also widespread, but understudied. Expanding the current focus on reducing repeat testing to include ordering the right test during initial evaluation may lead to fewer errors and better care.
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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.