Evidence map›Paper›PMID 18854488›Full record

ReviewClinical microbiology reviews2008

Adenoviruses in immunocompromised hosts.

Marcela Echavarría

Open access · greenAbstract readReview
In one paragraph

Review in Clinical microbiology reviews, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 207 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
207citing papers in PubMed, 2 pooled it
12.4field-weighted citation impact, top 1% 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

207 citing papers in PubMed, 2 syntheses or guidelines pooled it, 510 citations in OpenAlex.

  1. Pooled it
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  10. Human adenovirus in Taiwan, 2019-2023.Archives of virology · 2025
    Article
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147 more citing papers are in PubMed but not listed here.

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

1 author at 1 institution in 1 country.

Marcela EchavarríaClinical Virology Laboratory, Centro de Educación Médica e Investigaciones Clínicas, University Hospital, Galvan, Buenos Aires, Argentina. mechavarria@cemic.edu.ar
Centro de Educación Médica e Investigaciones Clínicas Norberto Quirno · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

summaryThe number of patients with acquired immunodeficiency has grown steadily as a result of both a larger number of patients receiving solid organ and hematopoietic stem cell transplants and their longer survival times. The use of newer, more potent immunosuppressive regimens has increased the frequency of severe adenovirus infections. Human adenoviruses are a large group of viruses, represented by at least 52 serotypes with various genotypes divided into genomic clusters, and these may cause a broad variety of clinical manifestations. The development of molecular methods has increased the sensitivity and rapidity of adenovirus infection diagnosis. The implementation of PCR assays has significantly contributed to the identification of patients with disseminated adenovirus disease. More recently, the development of real-time PCR assays has permitted virus quantification and patient follow-up. There is no treatment for adenovirus with demonstrated efficacy, although cidofovir is widely used. Sensitive diagnostic tests for adenovirus can contribute to the early diagnosis and successful treatment of life-threatening adenovirus infections, especially in complex immunocompromised patients. The development of improved adenovirus therapy still remains a challenge. Adenovirus genetic diversity should be considered for diagnosis, typing, and therapeutic interventions.

Indexed as

Immunocompromised HostAdenoviridaeAdenoviridae InfectionsHumans

Identifiers

PMID18854488
PMCPMC2570151
OpenAlexW2022636501

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.