Evidence map›Paper›PMID 8763469›Full record

ArticleJournal of anatomy1996

A quantitative study of silver-stained NORs in different segments of the normal human colorectal crypt.

M Morais, P Dockery, F H White

Abstract read
In one paragraph

Article in Journal of anatomy, 1996. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 81% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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.

M MoraisDepartment of Anatomy, University of Hong Kong.
P Dockery
F H White
University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantification of silver-stained nucleolar organiser regions (AgNORs) in paraffin sections may provide clues about the proliferation and differentiation in normal and neoplastic tissues. The aim of the present investigation was to determine whether AgNOR quantification could provide useful data about proliferation in the different segments of the normal human colorectal crypt. Samples of histologically 'normal' large intestine (n = 8) were obtained from colorectal cancer resections at a distance of > 5 cm from the tumour margins and were routinely processed for paraffin embedding using strictly standardised procedures. Sections were cut and stained with a one-stage silver colloid impregnation technique. The longitudinally sectioned crypts were divided into proliferative (P), intermediate (I) and surface (S) segments using strict criteria. Clearly defined AgNORs, which appeared as black dots within the nuclear profile, were quantified from each segment for volume density (Vv) and number per unit area (NA) estimates using traditional point-counting techniques. A 1-way analysis of variance followed by Scheffe's test indicated significant progressive reductions of AgNOR Vv and NA from P to S segments. Our data suggest that both volume and frequency of AgNORs may be related to cellular proliferation since both parameters are highest in the P segment. The further exploitation of stereological tools in conjunction with AgNOR staining may be valuable in assessing normal differentiation and proliferation patterns and in predicting the biological behaviour of neoplastic tissues in which increased proliferation is a feature.

Indexed as

AgedAnalysis of VarianceCell DivisionColonFemaleHumansMaleMiddle AgedNucleolus Organizer RegionRectumSilver Staining

Identifiers

PMID8763469
PMCPMC1167480
OpenAlexW2279241240

What OpenQuestion holds

Textmetadata
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.