Evidence map›Paper›PMID 26502873›Full record

ArticleBMC infectious diseases2015

Do citation trends reflect epidemiologic patterns? Assessing MRSA, emerging and re-emerging pathogens, 1963-2014.

Ethan Morgan, Michael Z David

Abstract read
In one paragraph

Article in BMC infectious diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Hospital Epidemiology of Methicillin-ResistantBioMed research international · 2018
    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

2 authors.

Ethan MorganDepartment of Public Health Sciences, University of Chicago, Chicago, USA. morgane@uchicago.edu.
Michael Z DavidDepartment of Public Health Sciences, University of Chicago, Chicago, USA. mdavid@medicine.bsd.uchicago.edu.

Funding

Re-Engineering Translational Research at the University of ChicagoUL1TR000430 · NCATS · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2012 to 2016
$20.2M
NCATS NIH HHS UL1 TR000430
6 · The paper itself

Abstract

backgroundA rapid rise in PubMed citations on methicillin-resistant Staphylococcus aureus (MRSA) occurred after 2000, but the relationship of trends in citation to epidemiologic trends for infectious disease is not known.

methodsWe queried PubMed(R), for citations to the following: MRSA, HIV/AIDS, Staphylococcus aureus, severe acute respiratory syndrome, Lyme disease, avian influenza, West Nile virus, Chikungunya, Ebola virus and Middle Eastern respiratory syndrome. Incidence or mortality data were tabulated.

resultsWe identified 560,225 citations in 1963-2014. There were two distinct qualitative citation patterns. Type I pathogens showed a decade of initial exponential growth. Type II pathogens showed a sudden spike in citations in a year or two, followed by a relative decline. MRSA most closely resembled a Type I pathogen.

conclusionsThe Type I pattern pathogens had varied trends in disease incidence in the years following the exponential growth and subsequent decline in the number of citations. Their differing epidemiologic patterns did not correlate with their pattern of citations. We conclude that citation trends on MRSA cannot be used to determine past epidemiologic trends and also that the citation trend for MRSA in 1995-2011 most closely resembled that for HIV in 1981-1998.

Indexed as

Methicillin-Resistant Staphylococcus aureusAcquired Immunodeficiency SyndromeAnimalsBirdsChikungunya FeverCommunicable Diseases, EmergingCoronavirus InfectionsHemorrhagic Fever, EbolaHIV InfectionsHumansInfluenza in BirdsLyme DiseaseSerial PublicationsStaphylococcal InfectionsStaphylococcus aureusWest Nile Fever

Identifiers

PMID26502873
PMCPMC4621863

What OpenQuestion holds

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Registered trials

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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.