Evidence map›Paper›PMID 22933755›Full record

ArticleJournal of bacteriology2012

Whole-genome sequences and comparative genomics of Salmonella enterica serovar Typhi isolates from patients with fatal and nonfatal typhoid fever in Papua New Guinea.

Ramani Baddam, Kwai-Lin Thong, Tiruvayipati Suma Avasthi, Sabiha Shaik, Kien-Pong Yap, Cindy Shuan Ju Teh, Lay-Ching Chai, Narender Kumar, Niyaz Ahmed

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Journal of bacteriology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.8field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 14 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

9 authors at 2 institutions in 2 countries.

Ramani BaddamPathogen Biology Laboratory, Department of Biotechnology, School of Life Sciences (Centre for Advanced Studies-UGC-SAP-CAS-I), University of Hyderabad, Gachibowli, Hyderabad, India.
Kwai-Lin Thong
Tiruvayipati Suma Avasthi
Sabiha Shaik
Kien-Pong Yap
Cindy Shuan Ju Teh
Lay-Ching Chai
Narender Kumar
Niyaz Ahmed
University of Malaya · MYUniversity of Hyderabad · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many of the developing countries of the Southeast Asian region are significantly affected by endemic typhoid fever, possibly as a result of marginal living standards. It is an important public health problem in countries such as Papua New Guinea, which is geographically close to some of the foci of endemicity in Asia. The severity of the disease varies in different regions, and this may be attributable to genetic diversity among the native strains. Genome sequence data on strains from different countries are needed to clearly understand their genetic makeup and virulence potential. We describe the genomes of two Salmonella Typhi isolates from patients with fatal and nonfatal cases of typhoid fever in Papua New Guinea. We discuss in brief the underlying sequencing methodology, assembly, genome statistics, and important features of the two draft genomes, which form an essential step in our functional molecular infection epidemiology program centering on typhoid fever. The comparative genomics of these and other isolates would enable us to identify genetic rearrangements and mechanisms responsible for endemicity and the differential severity of pathogenic salmonellae in Papua New Guinea and elsewhere.

Indexed as

Genome, BacterialSequence Analysis, DNADNA, BacterialHumansMolecular Sequence DataPapua New GuineaSalmonella typhiTyphoid FeverDNA, Bacterial

Identifiers

PMID22933755
PMCPMC3430347
OpenAlexW2028582544

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.