Evidence map›Paper›PMID 23856399›Full record

ArticleJournal of epidemiology and global health2012

Patterns of antituberculous drug resistance in Eastern Saudi Arabia: a 7-year surveillance study from 1/2003 to 6/2010.

Liaqat Ali Chaudhry, Nagamani Rambhala, Ali Saad Al-Shammri, Jaffar A Al-Tawfiq

Open access · goldAbstract read
In one paragraph

Article in Journal of epidemiology and global health, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 92% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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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

4 authors at 2 institutions in 1 country.

Liaqat Ali ChaudhryDepartment of Medicine & Chest, Diseases, Dammam Medical Complex (MOH), Saudi Arabia. dr_liaqatali@hotmail.com
Nagamani Rambhala
Ali Saad Al-Shammri
Jaffar A Al-Tawfiq
Dammam Central Hospital · SASaudi Aramco Medical Services Organization · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine the patterns of antituberculous drug resistance of Mycobacterium tuberculosis in patients with pulmonary and extra-pulmonary tuberculosis in the Eastern province of the Kingdom of Saudi Arabia.

methodsThis is a retrospective study of antibiotic susceptibility of 1681 non-repetitive M. tuberculosis isolates from 1/2003 to 6/2010.

resultsOf the total patients, 41% (n=687) were Saudis and 59% (n=994) were non-Saudis. The pulmonary and extra-pulmonary specimens constituted 68% (n=1148) and 32% (n=533), respectively. The incidence of resistance was 15.5% to one or more of anti-tuberculosis drugs. The resistance rates to first-line drugs were as follows: streptomycin (10.4%), INH (9.8%), rifampicin (1.5%) and ethambutol (1.0%). Multi-drug resistant tuberculosis was present in 1.4% (n=24) of the sample.

conclusionINH resistance in this study was relatively high, whereas the rate of MDR-TB was low. A rate of MDR-TB observed in this study was 1.4%. Thus, an empiric four-drug therapy is required to treat patients with tuberculosis in this area of Saudi Arabia.

Indexed as

Drug Resistance, BacterialAdultAntitubercular AgentsCohort StudiesDeveloping CountriesFemaleHealth SurveysHumansIncidenceMicrobial Sensitivity TestsMiddle AgedMycobacterium tuberculosisRetrospective StudiesRisk AssessmentSaudi ArabiaTuberculosisAntitubercular Agentsdrug sensitivity testDSTEastern Saudi ArabiaIncidenceMDR-TBmulti-drug resistance tuberculosisnational tuberculosis control programNTBCPPrevalenceResistanceSDR-TBsingle drug resistance tuberculosisTuberculosis

Identifiers

PMID23856399
PMCPMC7320363
OpenAlexW1999562100

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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.