Evidence map›Paper›PMID 9472387›Full record

ArticleThe Histochemical journal1997

Application of computer image analysis in endocrine cell quantification.

M el-Salhy, O Sandström, E Näsström, M Mustajbasic, S Zachrisson

Abstract read
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In one paragraph

Article in The Histochemical journal, 1997. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
13.7field-weighted citation impact, top 1% 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

9 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Loss of gastric interstitial cells of Cajal in patients with hereditary transthyretin amyloidosis.Amyloid : the international journal of experimental and clinical investigation : the official journal of the International Society of Amyloidosis · 2013
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Antral endocrine cells in nonobese diabetic mice.Digestive diseases and sciences · 1998
    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

5 authors at 1 institution in 1 country.

M el-SalhyDepartment of Medicine, University Hospital, Umeå, Sweden.
O Sandström
E Näsström
M Mustajbasic
S Zachrisson
Umeå University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computer image analysis was applied for quantifying endocrine cells by using an automatic standard sequence analysis operation. Two parameters were used, namely the number of cells per mm3 of epithelial cells and the cell secretory index (the volume of the immunoreactive secretory granules per cell). The first indicates the variation in the anatomical peptide-producing unit and the second the synthesis and secretion activity of the cell. The endocrine cells chosen in this study were chromogranin-immunoreactive cells and secretin-immunoreactive cells in the human duodenum. The measurements were made by five different investigators with different backgrounds in order to evaluate the effect of the intra- and inter-individual variation. This study showed that the intra- and inter-individual variation had no impact on the results. Comparisons with the classical point-counting method considered to be easy and most efficient in volumetry showed that the present approach is between two and three times faster and less strenuous for the performer. It is concluded that this approach seems to be suitable for adaptation in morphometric studies when information is required about the changes in the number of endocrine cells and about changes in secretory activities.

Indexed as

AdultChromogranin AChromograninsDuodenumEndocrine GlandsFemaleHumansImage Processing, Computer-AssistedImmunohistochemistryMaleMiddle AgedSecretinChromogranin AChromograninsSecretin

Identifiers

PMID9472387
OpenAlexW1645460456

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.