Evidence map›Paper›PMID 27353665›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2016

Understanding Toxoplasmosis in the United States Through "Large Data" Analyses.

Joseph Lykins, Kanix Wang, Kelsey Wheeler, Fatima Clouser, Ashtyn Dixon, Kamal El Bissati, Ying Zhou, Christopher Lyttle, Andrey Rzhetsky, Rima McLeod

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

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

  1. Pooled it
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  14. A contemporary insight into the sero-epidemiology ofNepal journal of epidemiology · 2021
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  17. Potent Tetrahydroquinolone Eliminates Apicomplexan Parasites.Frontiers in cellular and infection microbiology · 2020
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  18. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Joseph LykinsPritzker School of Medicine.
Kanix WangCommittee on Genetics, Genomics, and Systems Biology.
Kelsey WheelerDepartment of Ophthalmology and Visual Sciences.
Fatima ClouserDepartment of Ophthalmology and Visual Sciences.
Ashtyn DixonDepartment of Ophthalmology and Visual Sciences.
Kamal El BissatiDepartment of Ophthalmology and Visual Sciences.
Ying ZhouDepartment of Ophthalmology and Visual Sciences.
Christopher LyttleCenter for Health and Social Sciences (CHeSS).
Andrey RzhetskyDepartment of Medicine Department of Human Genetics Computation Institute.
Rima McLeodDepartment of Ophthalmology and Visual Sciences Department of Pediatrics (Infectious Diseases), Institute of Genomics, Genetics, and Systems Biology, Global Health Center, Toxoplasmosis Center, CHeSS, The College, University of Chicago, Illinois.

Funding

Modeling the temporal succession of phenotypes & environnnental cuesP50MH094267 · NIMH · UNIVERSITY OF CHICAGO · PI RZHETSKY, ANDREY · 2011 to 2015
$10.2M
MAPGen Knowledge Base (MAPGenKB) and Coordination CenterU01HL108634 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CRANDALL, EDWARD DAVID, ZHOU, XIANGHONG JASMINE · 2011 to 2015
$5.3M
TREATMENT OF CONGENITAL TOXOPLASMOSISR01AI027530 · NIAID · UNIVERSITY OF CHICAGO · PI MCLEOD, RIMA L · 1989 to 2010
$2.8M
NHLBI NIH HHS U01 HL108634NIAID NIH HHS R01 AI027530NIMH NIH HHS P50 MH094267
6 · The paper itself

Abstract

backgroundToxoplasma gondii infection causes substantial morbidity and mortality in the United States, and infects approximately one-third of persons globally. Clinical manifestations vary. Seropositivity is associated with neurologic diseases and malignancies. There are few objective data concerning US incidence and distribution of toxoplasmosis.

methodsTruven Health MarketScan Database and International Classification of Diseases, Ninth Revision (ICD-9) codes, including treatment specific to toxoplasmosis, identified patients with this disease. Spatiotemporal distribution and patterns of disease manifestation were analyzed. Comorbidities between patients and matched controls were compared.

resultsBetween 2003 and 2012, 9260 patients had ICD-9 codes for toxoplasmosis. This database of patients with ICD-9 codes includes 15% of those in the United States, excluding patients with no or public insurance. Thus, assuming that demographics do not change incidence, the calculated total is 61 700 or 6856 patients per year. Disease was more prevalent in the South. Mean age at diagnosis was 37.5 ± 15.5 years; 2.4% were children aged 0-2 years, likely congenitally infected. Forty-one percent were male, and 73% of women were of reproductive age. Of identified patients, 38% had eye disease and 12% presented with other serious manifestations, including central nervous system and visceral organ damage. Toxoplasmosis was statistically associated with substantial comorbidities, including human immunodeficiency virus, autoimmune diseases, and neurologic diseases.

conclusionsToxoplasmosis causes morbidity and mortality in the United States. Our analysis of private insurance records missed certain at-risk populations and revealed fewer cases of retinal disease than previously estimated, suggesting undercoding, underreporting, undertreating, or differing demographics of those with eye disease. Mandatory reporting of infection to health departments and gestational screening could improve care and facilitate detection of epidemics and, thereby, public health interventions.

Indexed as

AdolescentAdultAgedAutoimmune DiseasesChildChild, PreschoolComorbidityFemaleHIV InfectionsHumansIncidenceInfantInternational Classification of DiseasesMaleMiddle AgedMorbidityICD-9 code“large data”Toxoplasma gondiitoxoplasmosisTruven Health MarketScan Database

Identifiers

PMID27353665
PMCPMC4967610

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.