Evidence map›Paper›PMID 34326037›Full record

Observational studyJournal of medical Internet research2021

Effectiveness of a Cloud-Based Telepathology System in China: Large-Sample Observational Study.

Xianying He, Linlin Wang, Li Wang, Jinghong Gao, Fangfang Cui, Qianqian Ma, Wenjie Zhang, Lin Wang, Yunkai Zhai, Jie Zhao

Abstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

  1. Article
  2. Observational
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Digital twin concept: Healthcare, education, research.Journal of pathology informatics · 2023
    Article
  10. Article
  11. 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

10 authors.

Xianying He *National Telemedicine Center of China, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.ORCID 0000-0001-6918-9997
Linlin Wang *National Telemedicine Center of China, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.ORCID 0000-0001-5213-0892
Li WangDepartment of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.ORCID 0000-0001-7226-0280
Jinghong GaoNational Telemedicine Center of China, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.ORCID 0000-0003-0011-4983
Fangfang CuiNational Telemedicine Center of China, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.ORCID 0000-0002-1870-7907
Qianqian MaNational Telemedicine Center of China, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.ORCID 0000-0003-4885-2512
Wenjie ZhangNational Telemedicine Center of China, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.ORCID 0000-0002-8527-9826
Lin WangNational Telemedicine Center of China, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.ORCID 0000-0002-9803-7703
Yunkai ZhaiSchool of Management Engineering, Zhengzhou University, Zhengzhou, China.ORCID 0000-0002-7655-9279
Jie ZhaoNational Telemedicine Center of China, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.ORCID 0000-0003-1168-8384

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhole-slide imaging allows the entire slide to be viewed in a manner that simulates microscopy; therefore, it is widely used in telepathology. However, managing the large digital files needed for whole-slide imaging is difficult. To solve this problem, we set up the Chinese National Cloud-Based Telepathology System (CNCTPS). CNCTPS has been running for more than 4 years and has accumulated a large amount of data.

objectiveThe main purpose of this study was to comprehensively evaluate the effectiveness of the CNCTPS based on a large sample. The evaluation indicators included service volume, turnaround time, diagnosis accuracy, and economic benefits.

methodsDetails of 23,167 cases submitted to the CNCTPS from January 2016 to December 2019 were collected to analyze the service volume, turnaround time, and economic benefits. A total of 564 patients who visited the First Affiliated Hospital of Zhengzhou University and obtained final diagnoses were followed up to analyze the diagnostic accuracy of the CNCTPS.

resultsFrom 2016 to 2019, the service volume of the CNCTPS increased from 2335 to 9240, and the number of participating hospitals increased from 60 to 74. Consultation requests from county-level hospitals accounted for 86.57% (20,287/23,167). A total of 17,495 of 23,167 cases (75.52%) were confirmed, including 12,088 benign lesions, 5217 malignant lesions, and 190 borderline lesions. Of the cases, 3.85% (893/23,167) failed to be diagnosed for reasons such as poor slice quality and incomplete sampling. The median turnaround time was 16.93 hours and was shortened yearly (between 2018 and 2019: adjusted P=.01; other groups: adjusted P<.001); 82.88% cases were diagnosed in 48 hours. There was a discrepancy between the diagnosis and final diagnosis for 11 cases, including 4 false-positive cases and 7 false-negative cases. The sensitivity and specificity were 97.66% and 98.49%, respectively. The diagnostic accuracy of the system was 98.05%, with no statistical difference from the final diagnosis in the hospital (P=.55). By using this system, a total of US $300,000 was saved for patients every year.

conclusionsThe novel cloud-based telepathology system has the potential to relieve the shortage of pathologists in primary hospitals. It can also simultaneously reduce medical costs for patients in China. It should, therefore, be further promoted to enhance the efficiency, quantity, and quality of telepathology diagnoses.

Indexed as

TelepathologyChinaCloud ComputingHumansMicroscopyReferral and Consultationcloud-based systemdiagnostic accuracyeconomic benefitstelepathologyturnaround timewhole-slide imaging

Identifiers

PMID34326037
PMCPMC8367172

What OpenQuestion holds

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LicenceCC BY
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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.