ArticleMicrobiology spectrum2022
Effects of COVID-19 on Blood Culture Contamination at a Tertiary Care Academic Medical Center.
Article in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed, 10 citations in OpenAlex.
- An Antimicrobial susceptibility study to compare the in vitro activity of antimicrobial agents in the Philippines against Enterobacterales and Pseudomonas aeruginosa from different infection sites: results from ATLAS surveillance program (2018-2021).BMC infectious diseases · 2026Article
- Low Blood Culture Contamination Rates Sustained in Children during the COVID-19 Pandemic.Infection & chemotherapy · 2025Article
- Standardized surveillance of blood culture contamination rates: moving toward a universal standard.Journal of clinical microbiology · 2025Article
- Multicenter evaluation of blood culture contamination and blood cultures practices in US acute care hospitals: time for standardization.Journal of clinical microbiology · 2025Article
- Interrupted-time-series analysis of the impact of COVID-19 pandemic on blood culture utilization in Shanghai.BMC infectious diseases · 2025Article
- Reducing blood culture contamination: an environmental imperative.Access microbiology · 2025Article
- The impact of the COVID-19 pandemic on blood culture practices and bloodstream infections.Microbiology spectrum · 2023Article
- Blood Stream Infections in COVID-19 Patients From a Tertiary Care Center in Lebanon: Causative Pathogens and Rates of Multi-Drug Resistant Organisms.Mayo Clinic proceedings. Innovations, quality & outcomes · 2023Article
- Effect of Wearing Personal Protective Equipment (PPE) for COVID-19 Treatment on Blood Culture Contamination: Implication for Optimal PPE Strategies.Journal of Korean medical science · 2023Article
- Next-Generation Sequencing in Critically Ill COVID-19 Patients with Suspected Bloodstream Infections: A Retrospective Cohort Study.Journal of clinical medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
The COVID-19 pandemic has changed health care, from increased needs of personal protective equipment (PPE) to overloaded staff and influxes of patients. Blood cultures are frequently used to detect bloodstream infections in critically ill patients, but it is unknown whether the COVID-19 pandemic has had an impact on blood culture contamination rates. A total of 88,332 blood cultures taken over a 33-month period were analyzed to compare blood culture contamination rates before the COVID-19 pandemic to rates during the pandemic. A significant increase in the average number of monthly nurse-drawn and peripherally collected cultures occurred after the start of the pandemic, but there was a decrease in the average number of phlebotomy cultures. A significant increase in contamination rates (
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What OpenQuestion holds
Registered trials
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.