Evidence map›Paper›PMID 32831938›Full record

ArticleAnnals of thoracic medicine

Hematoidin crystals in sputum smears: Cytopathology and clinical associations.

Rafael Martinez-Giron, Hugo Cornelis van Woerden, Liron Pantanowitz

Open access · diamondAbstract read
In one paragraph

Article in Annals of thoracic medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
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 2 institutions in 2 countries.

Rafael Martinez-GironINCLÍNICA Foundation for Clinical, Pneumological and Carcinogenic Research, Oviedo, Spain.
Hugo Cornelis van WoerdenCentre for Health Sciences, University of the Highlands and Islands, Inverness, Scotland, UK.
Liron PantanowitzDepartment of Pathology, University of Pittsburgh Medical Center Shadyside, Pittsburgh, Pennsylvania, USA.
University of Pittsburgh Medical Center · USUniversity of the Highlands and Islands · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere has been limited correlation of hematoidin crystals (HC) in sputum with clinical and diagnostic characteristics, partly because they are difficult to recognize. The aim of this study was, therefore, to assess these relationships in a consecutive cohort of sputum samples from patients submitted to a cytology laboratory.

methodsAdequate sputum samples from 489 individuals were enrolled in this study. These were fixed in ethanol, stained by the Papanicolaou method and examined microscopically. The normality of the distribution of the continuous variable (age in years) was examined using the Shapiro-Wilk normality test. As the data were not normally distributed, Kendall rank correlation was used to correlate age with the presence of HC. The Pearson's Chi-square test was used to determine if the proportion of cases with the presence of HC was different among the categorical data variables. A univariate binary logistic regression was used to determine the variables most strongly associated with HC presence. The results include odds ratios, 95% confidence intervals, Wald χ

resultsThe presence of HC in sputum was associated with increasing age (

conclusionsThere are clear associations linked to the finding of HC in sputum that may be helpful in pointing to a specific diagnosis, such as the possibility of underlying carcinoma.

Indexed as

Carcinomaclinical associationscytologyhematoidin crystalslungPapanicolaou methodsputum smears

Identifiers

PMID32831938
PMCPMC7423204
OpenAlexW3036018713

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.