Evidence map›Paper›PMID 1706639›Full record

ArticleCalcified tissue international1991

Osteoclast cytomorphometry demonstrates an abnormal population in B cell malignancies but not in multiple myeloma.

D Chappard, J F Rossi, R Bataille, C Alexandre

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Calcified tissue international, 1991. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

4 authors at 2 institutions in 1 country.

D ChappardLBTO--Laboratoire de Biologie du Tissu Osseux, Faculté de Médecine, Saint Etienne, France.
J F Rossi
R Bataille
C Alexandre
Biologie Tissulaire et Ingénierie Thérapeutique · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increased bone resorption in the vicinity of myeloma cells is mediated by local stimulating factors. Other malignancies of the B cell lineage are also able to produce resorbing factors responsible for increased bone resorption. We have studied three groups of subjects: 10 patients with overt multiple myeloma, 10 patients with a B cell malignancy, and 10 healthy human subjects as controls. Patients were studied at the time of diagnosis and had a transiliac bone biopsy. Osteoclasts were evident on histological sections by their acid phosphatase activity. A software was developed on an automatic image analyzer (Leitz TAS+) for measuring the maximal Feret's diameter (Oc.Le) of each osteoclast (corresponding to the osteoclast length). The histogram of Oc.Le frequency distribution was supplied in each group. In myeloma patients, the Oc.Le frequency distribution was similar to that in normal subjects and showed the histogram to be asymetric with a positive skew (maximum peak at 20-25 microns). With a graphical analysis, this distribution was shown to follow a lognormal distribution corresponding to a homogeneous osteoclast population. In other B cell malignancies, Oc.Le displayed a bimodal distribution with a peak at 20-25 microns and a lower peak at 10-15 microns. The graphical analysis showed that small (mononucleated?) osteoclasts are present in B cell malignancies with normal osteoclasts. This might reflect the secretion of different soluble factors by malignant cells of the B lymphocyte lineage.

Indexed as

Acid PhosphataseBiopsyB-LymphocytesBone and BonesBone NeoplasmsHumansMultiple MyelomaOsteoclastsSoftwareStaining and LabelingAcid Phosphatase

Identifiers

PMID1706639
OpenAlexW1970153817

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.