Evidence map›Paper›PMID 38373908›Full record

SynthesisBMC infectious diseases2024

Age difference of patients with and without invasive aspergillosis: a systematic review and meta-analysis.

Elena Shekhova, Fabián Salazar, Alessandra Da Silva Dantas, Tanmoy Chakraborty, Eva L Wooding, P Lewis White, Adilia Warris

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

7 authors.

Elena ShekhovaMedical Research Council Centre for Medical Mycology, Geoffrey Pope Building, University of Exeter, University of Exeter, Stocker Road, Exeter, EX4 4QD, UK. shekhova.elena@yandex.com.
Fabián SalazarMedical Research Council Centre for Medical Mycology, Geoffrey Pope Building, University of Exeter, University of Exeter, Stocker Road, Exeter, EX4 4QD, UK.
Alessandra Da Silva DantasSchool of Dental Sciences, Newcastle University, Framlington Place, Newcastle upon Tyne, NE2 4BW, UK.
Tanmoy ChakrabortyMedical Research Council Centre for Medical Mycology, Geoffrey Pope Building, University of Exeter, University of Exeter, Stocker Road, Exeter, EX4 4QD, UK.
Eva L WoodingMedical Research Council Centre for Medical Mycology, Geoffrey Pope Building, University of Exeter, University of Exeter, Stocker Road, Exeter, EX4 4QD, UK.
P Lewis WhitePublic Health Wales Microbiology Cardiff, Cardiff University, UHW, Cardiff, UK.
Adilia WarrisMedical Research Council Centre for Medical Mycology, Geoffrey Pope Building, University of Exeter, University of Exeter, Stocker Road, Exeter, EX4 4QD, UK.

Funding

Medical Research Council Centre for Medical Mycology MR/N006364/2
6 · The paper itself

Abstract

backgroundInvasive Aspergillosis (IA) is a life-threatening fungal disease with significant mortality rates. Timely diagnosis and treatment greatly enhance patient outcomes. This study aimed to explore the association between patient age and the development of IA, as well as the potential implications for risk stratification strategies.

methodsWe searched National Center for Biotechnology Information (NCBI) databases for publications until October 2023 containing age characteristics of patients with and without IA. A random-effects model with the application of inverse-variance weighting was used to pool reported estimates from each study, and meta-regression and subgroup analyses were utilized to assess sources of heterogeneity.

resultsA systematic review was conducted, resulting in the inclusion of 55 retrospective observational studies with a total of 13,983 patients. Meta-analysis revealed that, on average, patients with IA were approximately two and a half years older (95% Confidence Interval [CI] 1.84-3.31 years; I

conclusionsFurther research, such as individual patient data meta-analysis, is necessary to better understand the potential relationship between increasing age and the likelihood of IA. Improved risk stratification strategies based on patient age could potentially enhance the early detection and treatment of IA, ultimately improving patient outcomes.

Indexed as

AspergillosisAdultAgedAge FactorsFemaleHumansInvasive Fungal InfectionsMaleMiddle AgedRetrospective StudiesRisk FactorsAgeAspergillosisMeta-analysisSystematic review

Identifiers

PMID38373908
PMCPMC10875810

What Socratic 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 Socratic graph.