Evidence map›Paper›PMID 26291336›Full record

ArticleEmerging infectious diseases2015

Enhancing Lyme Disease Surveillance by Using Administrative Claims Data, Tennessee, USA.

Joshua L Clayton, Stephen G Jones, John R Dunn, William Schaffner, Timothy F Jones

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 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.

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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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  6. Article
  7. Review
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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

5 authors.

Joshua L Clayton
Stephen G Jones
John R Dunn
William Schaffner
Timothy F Jones

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lyme disease is underreported in the United States. We used insurance administrative claims data to determine the value of such data in enhancing case ascertainment in Tennessee during January 2011-June 2013. Although we identified ≈20% more cases of Lyme disease (5/year), the method was resource intensive and not sustainable in this low-incidence state.

Indexed as

Epidemiologic StudiesPublic Health SurveillanceQuality Assurance, Health CareCommunicable Diseases, EmergingDiagnosis-Related GroupsHumansInsurance Claim ReportingLyme DiseaseTennesseebacteriaBorrelia burgdorferiLyme diseasepublic health surveillanceTenneseeUnited States

Identifiers

PMID26291336
PMCPMC4550145

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.