Evidence map›Paper›PMID 20467770›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2010

Molecular detection of noroviruses in hospitalized patients in Bangladesh.

M Rahman, Z Hassan, Z Nahar, A S G Faruque, M Van Ranst, S R Rahman, T Azim

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Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 17 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

7 authors at 3 institutions in 2 countries.

M RahmanLaboratory of Virology, International Centre for Diarrhoeal Disease Research-Bangladesh, Mohakhali, Dhaka, Bangladesh. mustafizur@icddrb.org
Z Hassan
Z Nahar
A S G Faruque
M Van Ranst
S R Rahman
T Azim
International Centre for Diarrhoeal Disease Research · BDRega Institute for Medical Research · BEUniversity of Dhaka · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

From January 2004 to December 2005, a subset of stool specimens (n = 189) from patients who attended an urban hospital in Bangladesh, in which no pathogen was detected, was tested for the presence of noroviruses by conventional reverse transcription-polymerase chain reaction (RT-PCR). Norovirus RNA was detected in 37 samples (19.6%) in the no-pathogen-detected samples and the estimated overall norovirus detection rate was 8.5%. Diarrhea was generally moderate in the norovirus-infected patients and vomiting was the most common feature among them. Genetic analysis indicated that the GII genogroup was the most predominant norovirus strain (82.4%). The GI strain was found in 17.6% of samples and no cases of GIV were detected. This study indicates that a remarkable proportion of the diarrhea patients is hospitalized due to norovirus infection. Therefore, routine diagnosis of this virus in hospitalized patients is required. Since our study was based on hospitalized patients, community surveillance would be helpful to estimate the true burden of the virus in the country. The data regarding the genetic information of the circulating norovirus strains would be very useful for the norovirus vaccine development programs.

Indexed as

AdolescentAdultBangladeshCaliciviridae InfectionsChildChild, PreschoolFecesFemaleGastroenteritisGenotypeHumansInfantMaleMiddle AgedMolecular Sequence DataNorovirusRNA, Viral

Identifiers

PMID20467770
OpenAlexW2086366884

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.