Evidence map›Paper›PMID 36371155›Full record

ArticleBMC infectious diseases2022

Epidemiologic features, clinical characteristics, and predictors of mortality in patients with candidemia in Alameda County, California; a 2017-2020 retrospective analysis.

Didien Meyahnwi, Bekure B Siraw, Arthur Reingold

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.4field-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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Blood Stream Infections due toInternational journal of microbiology · 2026
    Article
  7. Observational
  8. Article
  9. Epidemiology, Risk Factors and Clinical Outcome of Candidaemia:Sultan Qaboos University medical journal · 2025
    Observational
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Epidemiology of Invasive Candidiasis.Clinical epidemiology · 2024
    Review
  16. Article
  17. Article
  18. The Clinical Characteristics of Bloodstream Infections Due toJournal of fungi (Basel, Switzerland) · 2023
    Article
  19. Review
  20. Article
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

3 authors at 2 institutions in 1 country.

Didien MeyahnwiSchool of Public Health, University of California, Berkeley, Berkeley, CA, USA. didien_meyahnwi@berkeley.edu.
Bekure B SirawSchool of Public Health, University of California, Berkeley, Berkeley, CA, USA.
Arthur ReingoldDivision of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, CA, USA.
University of California, Berkeley · USBerkeley Public Health Division · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBloodstream infections caused by Candida species are responsible for significant morbidity and mortality worldwide, with an ever-changing epidemiology. We conducted this study to assess trends in the epidemiologic features, risk factors and Candida species distribution in candidemia patients in Alameda County, California.

methodsWe analyzed data collected from patients in Alameda County, California between 2017 and 2020 as part of the California Emerging Infections Program (CEIP). This is a laboratory-based, active surveillance program for candidemia. In our study, we included incident cases only.

resultsDuring the 4-year period from January 1st, 2017, to December 31st, 2020, 392 incident cases of candidemia were identified. The mean crude annual cumulative incidence was 5.9 cases per 100,000 inhabitants (range 5.0-6.5 cases per 100,000 population). Candida glabrata was the most common Candida species and was present as the only Candida species in 149 cases (38.0%), followed by Candida albicans, 130 (33.2%). Mixed Candida species were present in 13 patients (3.3%). Most of the cases of candidemia occurred in individuals with one or more underlying conditions. Multivariate regression models showed that age ≥ 65 years (RR 1.66, CI 1.28-2.14), prior administration of systemic antibiotic therapy, (RR 1.84, CI 1.06-3.17), cirrhosis of the liver, (RR 2.01, CI 1.51-2.68), and prior admission to the ICU (RR1.82, CI 1.36-2.43) were significant predictors of mortality.

conclusionsNon-albicans Candida species currently account for the majority of candidemia cases in Alameda County.

Indexed as

CandidemiaAgedAntifungal AgentsCaliforniaCandidaCandida albicansHumansRetrospective StudiesRisk FactorsAntifungal AgentsBloodstream infectionsCandidaCandidemiaEmerging infectionsInvasive candidiasis

Identifiers

PMID36371155
PMCPMC9652840
OpenAlexW4309073127

What OpenQuestion holds

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LicenceCC BY
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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.