Evidence map›Paper›PMID 15071007›Full record

ArticleJournal of clinical microbiology2004

Molecular diagnosis of human adenoviruses d and e by a phylogeny-based classification method using a partial hexon sequence.

Yasushi Shimada, Toshihide Ariga, Yoshitsugu Tagawa, Koki Aoki, Shigeaki Ohno, Hiroaki Ishiko

Abstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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  9. Identification of a novel intertypic recombinant species D human adenovirus in a pediatric stem cell transplant recipient.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2014
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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

6 authors.

Yasushi ShimadaResearch and Development Department, Mitsubishi Kagaku Bio-Clinical Laboratories, Inc., Shimura 3-30-1, Itabashi-ku, Tokyo 174-8555, Japan.
Toshihide Ariga
Yoshitsugu Tagawa
Koki Aoki
Shigeaki Ohno
Hiroaki Ishiko

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human adenoviruses (HAdVs) are the major causes of a variety of acute illnesses. Virus isolation and neutralization tests are usually done to identify the causative virus, but these tests are labor-intensive and time-consuming, and standardized antisera are in limited supply. This study investigated a rapid and reliable method of virus identification based on PCR and phylogenetic analysis. The phylogenetic tree constructed by neighbor joining on the basis of the newly determined partial hexon sequences from 33 prototypes of HAdV-D and -E, along with 11 available prototypes of HAdV-A to -C and -F from GenBank, allowed HAdVs to be grouped into six distinct clusters. These clusters correspond closely to the six newly designated species, HAdV-A to -F. The partial hexon sequences of 57 isolates from patients with acute conjunctivitis obtained over 20 years plus those of 44 prototype strains were analyzed. Each isolate formed a monophyletic cluster along with its respective prototype strain, allowing serotype identification. Partial-hexon-based classification appears to be an effective tool for studying the molecular epidemiology of HAdVs.

Indexed as

PhylogenyAdenoviruses, HumanAdenovirus Infections, HumanBase SequenceCapsid ProteinsConjunctivitis, ViralHumansMolecular Sequence DataPolymerase Chain ReactionSequence Analysis, DNASerotypingCapsid Proteinshexon capsid protein, Adenovirus

Identifiers

PMID15071007
PMCPMC387551

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.