Evidence map›Paper›PMID 25426853›Full record

ArticlePloS one2014

Klebsiella variicola is a frequent cause of bloodstream infection in the stockholm area, and associated with higher mortality compared to K. pneumoniae.

Makaoui Maatallah, Malin Vading, Muhammad Humaun Kabir, Amina Bakhrouf, Mats Kalin, Pontus Nauclér, Sylvain Brisse, Christian G Giske

Abstract readComparative Study
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed, 1 pooled it
–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

99 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Association of Klebsiella pneumoniae sequence type 11 but not other virulence factors with patient mortality: a systematic review and meta-analysis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
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  18. Molecular Characterization of PresumptivePathogens (Basel, Switzerland) · 2025
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  19. Diagnostics (Basel, Switzerland) · 2025
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39 more citing papers are in PubMed but not listed here.

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.

Makaoui MaatallahLaboratoire d'Analyse, Traitement et Valorisation des Polluants de l'Environnement et des Produits, Faculté de Pharmacie, University of Monastir, Montasir, Tunisia.
Malin VadingClinical Microbiology, MTC - Karolinska Institutet, Karolinska University, Hospital Solna, Stockholm, Sweden; Department of Infectious Diseases, Karolinska University Hospital Solna, Stockholm, Sweden.
Muhammad Humaun KabirClinical Microbiology, MTC - Karolinska Institutet, Karolinska University, Hospital Solna, Stockholm, Sweden.
Amina BakhroufLaboratoire d'Analyse, Traitement et Valorisation des Polluants de l'Environnement et des Produits, Faculté de Pharmacie, University of Monastir, Montasir, Tunisia.
Mats KalinDepartment of Infectious Diseases, Karolinska University Hospital Solna, Stockholm, Sweden.
Pontus NauclérDepartment of Infectious Diseases, Karolinska University Hospital Solna, Stockholm, Sweden.
Sylvain BrisseInstitut Pasteur, Microbial Evolutionary Genomics, Paris, France; CNRS, Paris, France.
Christian G GiskeClinical Microbiology, MTC - Karolinska Institutet, Karolinska University, Hospital Solna, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical isolates of Klebsiella pneumoniae are divided into three phylogroups and differ in their virulence factor contents. The aim of this study was to determine an association between phylogroup, virulence factors and mortality following bloodstream infection (BSI) caused by Klebsiella pneumoniae. Isolates from all adult patients with BSI caused by K. pneumoniae admitted to Karolinska University Hospital, Solna between 2007 and 2009 (n = 139) were included in the study. Phylogenetic analysis was performed based on multilocus sequence typing (MLST) data. Testing for mucoid phenotype, multiplex PCR determining serotypes K1, K2, K5, K20, K54 and K57, and testing for virulence factors connected to more severe disease in previous studies, was also performed. Data was retrieved from medical records including age, sex, comorbidity, central and urinary catheters, time to adequate treatment, hospital-acquired infection, and mortality, to identify risk factors. The primary end-point was 30- day mortality. The three K. pneumoniae phylogroups were represented: KpI (n = 96), KpII (corresponding to K. quasipneumoniae, n = 9) and KpIII (corresponding to K. variicola, n = 34). Phylogroups were not significantly different in baseline characteristics. Overall, the 30-day mortality was 24/139 (17.3%). Isolates belonging to KpIII were associated with the highest 30-day mortality (10/34 cases, 29.4%), whereas KpI isolates were associated with mortality in 13/96 cases (13.5%). This difference was significant both in univariate statistical analysis (P = 0.037) and in multivariate analysis adjusting for age and comorbidity (OR 3.03 (95% CI: 1.10-8.36). Only three of the isolates causing mortality within 30 days belonged to any of the virulent serotypes (K54, n = 1), had a mucoid phenotype (n = 1) and/or contained virulence genes (wcaG n = 1 and wcaG/allS n = 1). In conclusion, the results indicate higher mortality among patients infected with isolates belonging to K. variicola. The increased mortality could not be related to any known virulence factors, including virulent capsular types or mucoid phenotype.

Indexed as

AdultAgedAnti-Bacterial AgentsBacterial CapsulesDrug Resistance, BacterialFemaleHumansKlebsiellaKlebsiella InfectionsKlebsiella pneumoniaeMaleMiddle AgedMultilocus Sequence TypingPhylogenySwedenVirulence FactorsAnti-Bacterial AgentsVirulence Factors

Identifiers

PMID25426853
PMCPMC4245126

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Registered trials

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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.