Evidence map›Paper›PMID 34926317›Full record

ArticleFrontiers in cellular and infection microbiology2021

Total Laboratory Automation and Three Shifts Reduce Turnaround Time of Cerebrospinal Fluid Culture Results in the Chinese Clinical Microbiology Laboratory.

Weili Zhang, Siying Wu, Jin Deng, Quanfeng Liao, Ya Liu, Li Xiong, Ling Shu, Yu Yuan, Yuling Xiao, Ying Ma and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Evaluation and application of automated quality control in clinical coagulation testing.Research and practice in thrombosis and haemostasis · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
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

13 authors at 2 institutions in 1 country.

Weili ZhangDepartment of Laboratory Medicine, West China Hospital of Sichuan University, Chengdu, China.
Siying WuDepartment of Laboratory Medicine, West China Hospital of Sichuan University, Chengdu, China.
Jin DengDepartment of Laboratory Medicine, West China Hospital of Sichuan University, Chengdu, China.
Quanfeng LiaoDepartment of Laboratory Medicine, West China Hospital of Sichuan University, Chengdu, China.
Ya LiuDepartment of Laboratory Medicine, West China Hospital of Sichuan University, Chengdu, China.
Li XiongDepartment of Laboratory Medicine, West China Hospital of Sichuan University, Chengdu, China.
Ling ShuDepartment of Laboratory Medicine, West China Hospital of Sichuan University, Chengdu, China.
Yu YuanDepartment of Laboratory Medicine, West China Hospital of Sichuan University, Chengdu, China.
Yuling XiaoDepartment of Laboratory Medicine, West China Hospital of Sichuan University, Chengdu, China.
Ying MaDepartment of Laboratory Medicine, West China Hospital of Sichuan University, Chengdu, China.
Mei KangDepartment of Laboratory Medicine, West China Hospital of Sichuan University, Chengdu, China.
Dongdong LiDepartment of Laboratory Medicine, West China Hospital of Sichuan University, Chengdu, China.
Yi XieDepartment of Laboratory Medicine, West China Hospital of Sichuan University, Chengdu, China.
West China Hospital of Sichuan University · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Total laboratory automation (TLA) has the potential to reduce specimen processing time, optimize workflow, and decrease turnaround time (TAT). The purpose of this research is to investigate whether the TAT of our laboratory has changed since the adoption of TLA, as well as to optimize laboratory workflow, improve laboratory testing efficiency, and provide better services of clinical diagnosis and treatment. Materials and Methods: Laboratory data was extracted from our laboratory information system in two 6-month periods: pre-TLA (July to December 2019) and post-TLA (July to December 2020), respectively. Results: The median TAT for positive cultures decreased significantly from pre-TLA to post-TLA (65.93 Conclusion: Using TLA and setting up three shifts shortened the TAT of our clinical microbiology laboratory, especially for CSF samples.

Indexed as

Automation, LaboratoryLaboratoriesChinaDiagnostic Tests, RoutineWorkflowclinical microbiologyCSFKiestratotal laboratory automationturnaround time

Identifiers

PMID34926317
PMCPMC8675566
OpenAlexW4200227750

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.