Evidence map›Paper›PMID 29498477›Full record

SynthesisInfluenza and other respiratory viruses2018

Heterogeneous estimates of influenza virus types A and B in the elderly: Results of a meta-regression analysis.

Donatella Panatto, Alessio Signori, Piero L Lai, Roberto Gasparini, Daniela Amicizia

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Influenza and other respiratory viruses, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  11. Surveillance Data for Eight Consecutive Influenza Seasons in Sicily, Italy.The American journal of tropical medicine and hygiene · 2019
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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 at 1 institution in 1 country.

Donatella PanattoDepartment of Health Sciences, University of Genoa, Genoa, Italy.ORCID 0000-0002-2677-0551
Alessio SignoriDepartment of Health Sciences, University of Genoa, Genoa, Italy.
Piero L LaiDepartment of Health Sciences, University of Genoa, Genoa, Italy.
Roberto GaspariniDepartment of Health Sciences, University of Genoa, Genoa, Italy.
Daniela AmiciziaDepartment of Health Sciences, University of Genoa, Genoa, Italy.
University of Genoa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Influenza has many age-dependent characteristics. A previous systematic review of randomized controlled trials showed that the detection rate of influenza B was higher in children than in non-elderly adults. However, no comprehensive reviews have targeted the elderly, who carry the main burden of disease. We aimed to quantify the relative detection rates of virus types A and B among the elderly, to identify factors affecting these proportions, and to compare type distribution among seniors and younger age-classes. A comprehensive literature search was conducted to identify multiseason studies reporting A and B virus type distributions in the elderly. A random-effects meta-analysis was planned to quantify the prevalence of type B among elderly subjects with laboratory-confirmed influenza. Meta-regression was then applied to explain the sources of heterogeneity. Across 27 estimates identified, the type B detection rate among seniors varied from 5% to 37%. Meta-analysis was not feasible owing to high heterogeneity (I

Indexed as

Influenza A virusInfluenza B virusAgedHumansInfluenza, HumanMiddle AgedRegression Analysiselderlyinfluenza types A and Bmeta-regression analysis

Identifiers

PMID29498477
PMCPMC6005586
OpenAlexW2791281480

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.