Evidence map›Paper›PMID 25247519›Full record

SynthesisJAMA2014

Accuracy of FDG-PET to diagnose lung cancer in areas with infectious lung disease: a meta-analysis.

Stephen A Deppen, Jeffrey D Blume, Clark D Kensinger, Ashley M Morgan, Melinda C Aldrich, Pierre P Massion, Ronald C Walker, Melissa L McPheeters, Joe B Putnam, Eric L Grogan

Open access · greenAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in JAMA, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed, 5 pooled it
11.1field-weighted citation impact, top 1% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

97 citing papers in PubMed, 5 syntheses or guidelines pooled it, 184 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. The diagnostic performance ofBMC medical imaging · 2017
    Pooled it
  4. Guideline
  5. Pooled it
  6. Trial
  7. Trial
  8. Review
  9. Article
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  11. Article
  12. Article
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  14. Review
  15. Tuberculosis suggesting lung cancer.Revista da Sociedade Brasileira de Medicina Tropical · 2026
    Article
  16. Article
  17. Molecular imaging and radionuclide therapy · 2025
    Article
  18. Diagnostic approach for incidental pulmonary nodules.The Korean journal of internal medicine · 2025
    Review
  19. Review
  20. Article

37 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Stephen A DeppenVeterans Affairs Hospital, Tennessee Valley Healthcare System, Nashville2Department of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee.
Jeffrey D BlumeDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee.
Clark D KensingerDepartment of Surgery, Vanderbilt University Medical Center, Nashville, Tennessee.
Ashley M MorganSchool of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Melinda C AldrichDepartment of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee6Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Pierre P MassionVeterans Affairs Hospital, Tennessee Valley Healthcare System, Nashville7Division of Pulmonary and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Ronald C WalkerDepartment of Medical Imaging, Tennessee Valley Healthcare System-Veterans Affairs, Nashville9Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee.
Melissa L McPheetersDivision of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee10Division of Obstetrics and Gynecology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Joe B PutnamDepartment of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee.
Eric L GroganVeterans Affairs Hospital, Tennessee Valley Healthcare System, Nashville2Department of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee.
Vanderbilt University Medical Center · USVA Tennessee Valley Healthcare System · US

Funding

The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
TARGETING NOTCH 3 IN LUNG CANCERP50CA090949 · NCI · VANDERBILT UNIVERSITY · PI DATTA, PRAN K · 2001 to 2011
$24.1M
Validation of Biomarkers of Risk for the Early Detection of Lung CancerU01CA152662 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DEPPEN, STEPHEN, GROGAN, ERIC L · 2010 to 2025
$12.8M
Repurposing of a Long-Acting Parathyroid Hormone Analog for the Treatment of HypoparathyroidismZIATR000011 · NCATS · NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES · PI YANG, NA · 2015 to 2019
$8.2M
Unraveling Genetic Determinants of Lung Cancer Risk in African AmericansK07CA172294 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ALDRICH, MELINDA · 2013 to 2017
$801k
Regional Variation of FDG-PET Scans to diagnose lung cancerR03HS021554 · AHRQ · VANDERBILT UNIVERSITY · PI GROGAN, ERIC L · 2012 to 2013
$100k
Decreasing Unnecessary Invasive Lung Cancer Diagnostic ProceduresIK2HX000758 · VA · VETERANS HEALTH ADMINISTRATION · PI GROGAN, ERIC L · 2014 to 2015
–
AHRQ HHS R03 HS021554AHRQ HHS R03HS021554-01HSRD VA IK2 HX000758NCATS NIH HHS UL1TR000011NCATS NIH HHS UL1 TR000445NCI NIH HHS CA90949NCI NIH HHS K07 CA172294NCI NIH HHS K07CA172294NCI NIH HHS P50 CA090949NCI NIH HHS U01 CA152662NCI NIH HHS U01CA152662
6 · The paper itself

Abstract

importancePositron emission tomography (PET) combined with fludeoxyglucose F 18 (FDG) is recommended for the noninvasive diagnosis of pulmonary nodules suspicious for lung cancer. In populations with endemic infectious lung disease, FDG-PET may not accurately identify malignant lesions.

objectivesTo estimate the diagnostic accuracy of FDG-PET for pulmonary nodules suspicious for lung cancer in regions where infectious lung disease is endemic and compare the test accuracy in regions where infectious lung disease is rare. DATA SOURCES AND STUDY SELECTION: Databases of MEDLINE, EMBASE, and the Web of Science were searched from October 1, 2000, through April 28, 2014. Articles reporting information sufficient to calculate sensitivity and specificity of FDG-PET to diagnose lung cancer were included. Only studies that enrolled more than 10 participants with benign and malignant lesions were included. Database searches yielded 1923 articles, of which 257 were assessed for eligibility. Seventy studies were included in the analysis. Studies reported on a total of 8511 nodules; 5105 (60%) were malignant. DATA EXTRACTION AND SYNTHESIS: Abstracts meeting eligibility criteria were collected by a research librarian and reviewed by 2 independent reviewers. Hierarchical summary receiver operating characteristic curves were constructed. A random-effects logistic regression model was used to summarize and assess the effect of endemic infectious lung disease on test performance. MAIN OUTCOME AND MEASURES: The sensitivity and specificity for FDG-PET test performance.

resultsHeterogeneity for sensitivity (I2 = 87%) and specificity (I2 = 82%) was observed across studies. The pooled (unadjusted) sensitivity was 89% (95% CI, 86%-91%) and specificity was 75% (95% CI, 71%-79%). There was a 16% lower average adjusted specificity in regions with endemic infectious lung disease (61% [95% CI, 49%-72%]) compared with nonendemic regions (77% [95% CI, 73%-80%]). Lower specificity was observed when the analysis was limited to rigorously conducted and well-controlled studies. In general, sensitivity did not change appreciably by endemic infection status, even after adjusting for relevant factors. CONCLUSIONS AND RELEVANCE: The accuracy of FDG-PET for diagnosing lung nodules was extremely heterogeneous. Use of FDG-PET combined with computed tomography was less specific in diagnosing malignancy in populations with endemic infectious lung disease compared with nonendemic regions. These data do not support the use of FDG-PET to diagnose lung cancer in endemic regions unless an institution achieves test performance accuracy similar to that found in nonendemic regions.

Indexed as

Fluorodeoxyglucose F18Positron-Emission TomographyDiagnosis, DifferentialEndemic DiseasesHumansInfectionsLung DiseasesLung NeoplasmsRadiopharmaceuticalsROC CurveSensitivity and SpecificityFluorodeoxyglucose F18Radiopharmaceuticals

Identifiers

PMID25247519
PMCPMC4315183
OpenAlexW1978079075

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.