Evidence map›Paper›PMID 24260139›Full record

SynthesisPloS one2013

The landscape of inappropriate laboratory testing: a 15-year meta-analysis.

Ming Zhi, Eric L Ding, Jesse Theisen-Toupal, Julia Whelan, Ramy Arnaout

Registry-linked trialAbstract readMeta-AnalysisSystematic Review
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
188citing papers in PubMed, 9 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

NCT07629219 nacompletednot on this mapstarted 2025, after this paper: background citation

Optimization of Low-Value Medical Testing Practices in Hospitalized Patients in Argentina (OPTIMIZAR)

TypeinterventionalSponsorHospital Italiano de Buenos AiresRan2025 to 2025Enrolled600ConditionsLow-Value Care, Costs and Cost Analysis, Implementation Science, Public HealthArmsOPTIMIZAR Multicomponent Diagnostic Stewardship Bundle
3 · Its place in the literature

Who cites it

188 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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  17. Integrating Sustainability into ISO 15189.Annals of laboratory medicine · 2026
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128 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Ming ZhiHarvard Medical School, Boston, Massachusetts, United States of America.
Eric L Ding
Jesse Theisen-Toupal
Julia Whelan
Ramy Arnaout

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Clinical Laboratory TechniquesDiagnostic ErrorsHumans

Identifiers

PMID24260139
PMCPMC3829815

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.