Evidence map›Paper›PMID 26292017›Full record

ArticleEmerging infectious diseases2015

Improving Accuracy of Influenza-Associated Hospitalization Rate Estimates.

Alexander J Millman, Carrie Reed, Pam Daily Kirley, Deborah Aragon, James Meek, Monica M Farley, Patricia Ryan, Jim Collins, Ruth Lynfield, Joan Baumbach and 8 more

Open access · diamondAbstract 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 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

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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

18 authors.

Alexander J Millman
Carrie Reed
Pam Daily Kirley
Deborah Aragon
James Meek
Monica M Farley
Patricia Ryan
Jim Collins
Ruth Lynfield
Joan Baumbach
Shelley Zansky
Nancy M Bennett
Brian Fowler
Ann Thomas
Mary L Lindegren
Annette Atkinson
Lyn Finelli
Sandra S Chaves

Funding

NCEZID CDC HHS RFA-CK12-1202NCHM CDC HHS 5U38HM000414NCHM CDC HHS U38 HM000414
6 · The paper itself

Abstract

Diagnostic test sensitivity affects rate estimates for laboratory-confirmed influenza-associated hospitalizations. We used data from FluSurv-NET, a national population-based surveillance system for laboratory-confirmed influenza hospitalizations, to capture diagnostic test type by patient age and influenza season. We calculated observed rates by age group and adjusted rates by test sensitivity. Test sensitivity was lowest in adults >65 years of age. For all ages, reverse transcription PCR was the most sensitive test, and use increased from <10% during 2003-2008 to ≈70% during 2009-2013. Observed hospitalization rates per 100,000 persons varied by season: 7.3-50.5 for children <18 years of age, 3.0-30.3 for adults 18-64 years, and 13.6-181.8 for adults >65 years. After 2009, hospitalization rates adjusted by test sensitivity were ≈15% higher for children <18 years, ≈20% higher for adults 18-64 years, and ≈55% for adults >65 years of age. Test sensitivity adjustments improve the accuracy of hospitalization rate estimates.

Indexed as

Patient AdmissionProcess Assessment, Health CareCommunicable Disease ControlCommunicable Diseases, EmergingCommunity NetworksHumansInfluenza, HumanPopulation SurveillanceUnited Statesdiagnostic testshospitalizationsinfluenzasensitivityviruses

Identifiers

PMID26292017
PMCPMC4550134
OpenAlexW2401509073

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.