Evidence map›Paper›PMID 27306100›Full record

Observational studyBMC infectious diseases2016

Tuberculous meningitis is a major cause of mortality and morbidity in adults with central nervous system infections in Kota Kinabalu, Sabah, Malaysia: an observational study.

Heng Gee Lee, Timothy William, Jayaram Menon, Anna P Ralph, Eng Eong Ooi, Yan'an Hou, October Sessions, Tsin Wen Yeo

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  4. Brain abscess caused byThe Journal of international medical research · 2024
    Review
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  7. Clinical analysis of 103 cases of tuberculous meningitis complicated with hyponatremia in adults.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022
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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

8 authors at 4 institutions in 3 countries.

Heng Gee LeeDepartment of Medicine, The Infectious Disease Unit, Queen Elizabeth Hospital, Kota Kinabalu, Sabah, Malaysia.
Timothy WilliamDepartment of Medicine, The Infectious Disease Unit, Queen Elizabeth Hospital, Kota Kinabalu, Sabah, Malaysia.
Jayaram MenonDepartment of Medicine, The Infectious Disease Unit, Queen Elizabeth Hospital, Kota Kinabalu, Sabah, Malaysia.
Anna P RalphMenzies School of Health Research, Darwin, Australia.
Eng Eong OoiProgram in Emerging Infectious Diseases, Duke-NUS Graduate Medical School, Singapore, Singapore.
Yan'an HouProgram in Emerging Infectious Diseases, Duke-NUS Graduate Medical School, Singapore, Singapore.
October SessionsProgram in Emerging Infectious Diseases, Duke-NUS Graduate Medical School, Singapore, Singapore.
Tsin Wen YeoMenzies School of Health Research, Darwin, Australia. yeotsinwen@ntu.edu.sg.
Duke-NUS Medical School · SGQueen Elizabeth Hospital · MYMenzies School of Health Research · AUNanyang Technological University · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCentral nervous system (CNS) infections are a significant contributor to morbidity and mortality globally. However, most published studies have been conducted in developed countries where the epidemiology and aetiology differ significantly from less developed areas. Additionally, there may be regional differences due to variation in the socio-economic levels, public health services and vaccination policies. Currently, no prospective studies have been conducted in Sabah, East Malaysia to define the epidemiology and aetiology of CNS infections. A better understanding of these is essential for the development of local guidelines for diagnosis and management.

methodsWe conducted a prospective observational cohort study in patients aged 12 years and older with suspected central nervous system infections at Queen Elizabeth Hospital, Kota Kinabalu, Sabah, Malaysia between February 2012 and March 2013. Cerebrospinal fluid was sent for microscopy, biochemistry, bacterial and mycobacterial cultures, Mycobacterium tuberculosis polymerase chain reaction (PCR), and multiplex and MassCode PCR for various viral and bacterial pathogens.

resultsA total of 84 patients with clinically suspected meningitis and encephalitis were enrolled. An aetiological agent was confirmed in 37/84 (44 %) of the patients. The most common diagnoses were tuberculous meningitis (TBM) (41/84, 48.8 %) and cryptococcal meningoencephalitis (14/84, 16.6 %). Mycobacterium tuberculosis was confirmed in 13/41 (31.7 %) clinically diagnosed TBM patients by cerebrospinal fluid PCR or culture. The acute case fatality rate during hospital admission was 16/84 (19 %) in all patients, 4/43 (9 %) in non-TBM, and 12/41 (29 %) in TBM patients respectively (p = 0.02).

conclusionTBM is the most common cause of CNS infection in patients aged 12 years or older in Kota Kinabalu, Sabah, Malaysia and is associated with high mortality and morbidity. Further studies are required to improve the management and outcome of TBM.

Indexed as

AdolescentAdultAgedCentral Nervous System InfectionsCohort StudiesCryptococcus neoformansCulture TechniquesFemaleHumansMalaysiaMaleMeningitis, CryptococcalMeningoencephalitisMiddle AgedMultiplex Polymerase Chain ReactionMycobacterium tuberculosisCentral nervous system infectionsEncephalitisMeningitisMeningo-encephalitisTuberculous meningitis

Identifiers

PMID27306100
PMCPMC4910197
OpenAlexW2431221501

What OpenQuestion holds

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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.