ArticleJournal of cytology
Where to Look for AFB in FNA Smears from Tuberculous Lymph Nodes.
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.
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.
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.
Who cites it
0 citing papers in PubMed, 1 citations in OpenAlex.
No citing paper in PubMed yet.
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Demonstration of acid fast bacilli (AFB) is essential for the definitive cytodiagnosis of tuberculosis. However, it is not seen in all cases of tuberculosis, being more commonly observed in necrotic lesions. Tuberculosis shows a spectrum of lesions that form a continuum extending from good immunity end with purely granulomatous lesions to poor immunity end with purely necrotic lesions. Each stage has distinctive microscopic picture and determines the chance of finding AFB. AFB yield was the highest (92.7%) in necrotic lesions containing eosinophilic structures (ES).
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Registered trials
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.