Evidence map›Paper›PMID 40520671›Full record

ArticleJournal of cytology

Intraoperative Decision-Making: A Comparative Analysis of Scrape Cytology vs. Frozen Section in Eighty Consecutive Samples.

Manupriya Sharma, Deychen Meyes, Sushma Bharti, Chanderdeep Sharma, Chitresh Kumar, Sudesh Kumar

Abstract read
In one paragraph

Article in Journal of cytology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Manupriya SharmaDepartment of Pathology, All India Institute of Medical Sciences, Bilaspur, Himachal Pradesh, India.
Deychen MeyesDepartment of Pathology, All India Institute of Medical Sciences, Bilaspur, Himachal Pradesh, India.
Sushma BhartiDepartment of Pathology, All India Institute of Medical Sciences, Bilaspur, Himachal Pradesh, India.
Chanderdeep SharmaDepartment of Obstetrics and Gynaecology, All India Institute of Medical Sciences, Bilaspur, Himachal Pradesh, India.
Chitresh KumarDepartment of Surgical Oncology, All India Institute of Sciences, Bilaspur, Himachal Pradesh, India.
Sudesh KumarDepartment of ENT, All India Institute of Medical Sciences, Bilaspur, Himachal Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Intraoperative tumor evaluation is essential for optimizing surgical decision-making and can prevent the need for unnecessary radical surgeries. Although frozen section (FS) is the gold standard for such evaluations in advanced centers, scrape cytology presents a simpler, cost-effective alternative that could be beneficial in resource-limited settings. However, this technique is often overlooked in favor of FS due to greater pathologist confidence in FS. Materials and Methods: This study included 80 consecutive intraoperative samples from the Department of Pathology. Both scrape cytology and FS were independently evaluated, and results were compared with those of the final histopathology, taken as the gold standard. Statistical analysis assessed the concordance, sensitivity, specificity, and diagnostic accuracy for each method. Results: Scrape cytology and FS demonstrated a concordance rate of 87.5%, with sensitivity and specificity of 89.3% and 90.4%, respectively, for scrape cytology. Positive predictive value was 83.3%, and negative predictive value was 94%. Scrape cytology significantly reduced diagnostic time, averaging 10 min compared to 20 min for FS. Tissue-specific discrepancies were noted, particularly in lymph nodes and parathyroid cases. Conclusion: Scrape cytology proved to be a reliable, cost-effective, and time-efficient alternative to FS, especially in settings where FS is unavailable. Although FS remains optimal for architectural detail, scrape cytology provides high diagnostic accuracy and utility for intraoperative decision-making in resource-limited environments.

Indexed as

Concordancefrozen sectionintraoperative consultationpathologyScrape cytologysensitivityspecificity

Identifiers

PMID40520671
PMCPMC12165621

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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.