Evidence map›Paper›PMID 38646273›Full record

ArticleCureus2024

Assessment of Pre-analytical Errors and Fostering Strategies to Enhance Accurate Results and Efficient Turnaround Times in the Cytology Laboratory of a Tertiary Care Hospital.

Vallal Kani, Kavitha K, Sulochana Sonti

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Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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 1 institution in 1 country.

Vallal KaniDepartment of Pathology, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, IND.
Kavitha KDepartment of Pathology, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, IND.
Sulochana SontiDepartment of Pathology, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, IND.
Saveetha University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Pre-analytical errors in cytology laboratories can significantly impact the accuracy of diagnostic results and turnaround times, ultimately affecting patient care. This article presents an evaluation of pre-analytical errors and proposes fostering strategies to enhance accuracy and efficiency in the cytology laboratory of a tertiary care hospital. The background discusses the importance of pre-analytical processes in ensuring reliable cytological diagnoses and the common errors encountered in specimen collection, handling, and transportation. Strategies for error reduction and improvement in turnaround times include staff education, standardization of procedures, utilization of appropriate collection and transport devices, implementation of quality control measures, and utilization of automation technologies. By addressing pre-analytical errors and implementing fostering strategies, cytology laboratories can optimize diagnostic accuracy, improve patient care outcomes, and enhance overall laboratory efficiency. Aims and objectives This study aims to assess the prevalence and nature of pre-analytical errors in the cytology laboratory of a tertiary care hospital to understand the extent of the issue, identify the specific factors contributing to pre-analytical errors like specimen collection, handling, and transportation processes, and pinpoint areas for improvement. It seeks to evaluate the impact of pre-analytical errors on the accuracy of cytological results and the efficiency of turnaround times, highlighting the consequences for patient care. Furthermore, the study aims to develop targeted strategies to minimize pre-analytical errors and enhance the accuracy of cytological results. Materials and methods This study was conducted at the Cytology Laboratory of our hospital from January 2023 to December 2023 after getting proper approval from the Institutional Review Board (IRB approval number 101/02/2024/PG/SRB/SMCH). It is a retrospective analytical study, and a total of 5412 samples from patients of the outpatient (OP) department, inpatient (IP) department, and community health outreach program facilities received in the cytology laboratory were analyzed during the study period. The inclusion criteria were the test samples sent specifically for cytological analysis. The samples sent for biochemical or microbiological examination were excluded. The frequency of sample distribution and rejected samples were calculated and the results were correlated. Results A total of 5,412 samples received in the cytology laboratory were analyzed during the study period. The majority of the samples were Papanicolaou smears (2,352, 43.5%), followed by fluid cytology (1,008, 18.6%) and ultrasound-guided fine-needle aspiration cytology (FNAC, 984, 18.2%). Of the total number of samples, 225 (4.16%) were repeated and 27 (0.5%) were rejected. Conclusions Pre-analytical, analytical, and post-analytical processes are the three key factors that determine the dependability and precision of cytological test results. Detecting critical alerts such as the positivity of malignancy underscores the paramount importance of result accuracy. Implementing good laboratory practices and conducting both external and internal audits can reduce the frequency of preventable errors in a cytology laboratory, thereby ensuring enhanced precision and expedited outputs.

Indexed as

cytologypre-analytical errorsquality controlsample rejectionturnaround time

Identifiers

PMID38646273
PMCPMC11031617
OpenAlexW4393053303

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.