Evidence map›Paper›PMID 38597655›Full record

ArticleJournal of clinical microbiology2024

Performance of two modified two-tier algorithms for the serologic diagnosis of Lyme disease.

Marie L Landry, Sajjad Hassan, Bruce G Rottmann, Stacey J Pesak, Michael Ordazzo, Michael Skrzyniarz, Steven Deponte, David R Peaper

Open access · greenAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.6field-weighted citation impact, top 12% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Marie L LandryDepartment of Laboratory Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0001-5543-8366
Sajjad HassanDepartment of Laboratory Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Bruce G RottmannDepartment of Laboratory Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Stacey J PesakYale New Haven Hospital, New Haven, Connecticut, USA.
Michael OrdazzoYale New Haven Hospital, New Haven, Connecticut, USA.
Michael SkrzyniarzYale New Haven Hospital, New Haven, Connecticut, USA.
Steven DeponteYale New Haven Hospital, New Haven, Connecticut, USA.
David R PeaperDepartment of Laboratory Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0002-9952-5012
Yale New Haven Hospital · USYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

We compared the performance of a new modified two-tier testing (MTTT) platform, the Diasorin Liaison chemiluminescent immunoassay (CLIA), to the Zeus enzyme-linked immunoassay (ELISA) MTTT and to Zeus ELISA/Viramed immunoblot standard two-tier testing (STTT) algorithm. Of 537 samples included in this study, 91 (16.9%) were positive or equivocal by one or more screening tests. Among these 91 samples, only 57 samples were concordant positive by first-tier screening tests, and only 19 of 57 were concordant by the three second-tier methods. For IgM results, positive percent agreement (PPA) was 68.1% for Diasorin versus 89.4% for Zeus compared to immunoblot. By contrast, the PPA for IgG for both Diasorin and Zeus was 100%. Using a 2-out-of-3 consensus reference standard, the PPAs for IgM were 75.6%, 97.8%, and 95.6% for Diasorin, Zeus, and immunoblot, respectively. The difference between Zeus MTTT and Diasorin MTTT for IgM detection was significant ( IMPORTANCE: The laboratory diagnosis of Lyme disease relies upon the detection of antibodies to Borrelia species. Standard two tier testing (STTT) methods rely upon immunoblots which have clinical and technical limitations. Modified two-tier testing (MTTT) methods have recently become available and are being widely adopted. There are limited independent data available assessing the performance of MTTT and STTT methods.

Indexed as

AlgorithmsAntibodies, BacterialImmunoglobulin GImmunoglobulin MLyme DiseaseSensitivity and SpecificitySerologic TestsHumansImmunoblottingLuminescent MeasurementsAntibodies, BacterialImmunoglobulin GImmunoglobulin MBorrelia burgdorferiLyme diagnosisLyme diseasemodified two-tier testing

Identifiers

PMID38597655
PMCPMC11077974
OpenAlexW4394692672

What OpenQuestion holds

Textmetadata
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.