Evidence map›Paper›PMID 25190980›Full record

ArticleJournal of cytology2014

Correlation between the cytology of urine sediment in fresh sample and smears stained by Papanicolaou and Giemsa methods.

Luis Alberto Palaoro, Margarita Angerosa

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In one paragraph

Article in Journal of cytology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Luis Alberto PalaoroProfessor of Cytology, Clinical Hospital "José de San Martín", Buenos Aires University, Argentina ; Professor of Clinical Biochemistry, Instituto De Fisiopatologia Y Bioquimica Clinica, Argentina.
Margarita AngerosaProfessor of Cytology, Clinical Hospital "José de San Martín", Buenos Aires University, Argentina ; Professor of Clinical Biochemistry, Instituto De Fisiopatologia Y Bioquimica Clinica, Argentina.
Hospital de Clínicas "José de San Martín" · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUrine excreted by the body has a variable composition in different physiological and pathological conditions. The cells that come from the renal pelvis, ureters, bladder, and urethra are carried by the urine, and therefore, they can be observed in fresh samples and in smears with Giemsa and Papanicolaou stain.

aimThe aim of this study was to show that high correlation that exists between the cytological examination of fresh urine samples and smears stained with Papanicolaou and Giemsa methods. MATERIALS AND

methodsA total of 45 cases with no tumor of the urinary tract and 36 patients with lower urinary tract neoplasms were included in the study (20: Low-grade urothelial tumors; 16: High-grade urothelial tumors, squamous carcinomas, and adenocarcinomas). The sediments in the urine samples were observed in fresh specimen and in smears stained with Papanicolaou method.

resultsThe meticulous observation of fresh urinary sediments allowed identification of diverse cellular types associated with varied pathologies.

conclusionsThe cytological examination of urinary samples in fresh smears, and its later diagnostic confirmation with the Papanicolaou stain is important not only as a diagnostic procedure of tumoral or non-tumoral pathologies, but also as a method for the 'screening' of pre-cancerous lesions or carcinoma in situ, especially in high-risk populations.

Indexed as

Fresh urine sedimentinflammatory bladder pathologiesstained urine sedimenturinary bladder tumorsurinary tract

Identifiers

PMID25190980
PMCPMC4150338
OpenAlexW2045368307

What OpenQuestion holds

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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.