Evidence map›Paper›PMID 19548126›Full record

ArticleMedical oncology (Northwood, London, England)2010

Bone marrow hyaluronan and reticulin in patients with malignant disorders.

G Sundström, M Hultdin, A Engström-Laurent, I M S Dahl

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Article in Medical oncology (Northwood, London, England), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact, top 94% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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 2 countries.

G SundströmDepartment of Oncology, Section of Haematology, Norrlands University Hospital, Umeå, 90185, Sweden. gunnel.sundstrom@vll.se
M Hultdin
A Engström-Laurent
I M S Dahl
Umeå University · SEUiT The Arctic University of Norway · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myelofibrosis is commonly seen in patients with chronic myeloproliferative diseases and sometimes in myelodysplastic syndrome, acute leukaemia and lymphoproliferative diseases. The fibrotic process is evaluated by grading the amount of collagen deposited in the bone marrow interstitium. The established method to evaluate bone marrow fibrosis is staining for reticulin to visualise the collagen fibres. However, the extra cellular matrix does not only contain collagens but also other components, e.g. glycosaminoglycans of which hyaluronan is the most abundant. Hyaluronan is important for structural and cellular functions. Earlier studies have shown that there is a positive correlation between hyaluronan and reticulin staining in healthy volunteers and in patients with de novo acute myeloid leukaemia. In this study bone marrow biopsies from 43 patients with a malignant disease involving the bone marrow were compared with 18 patients with a malignant disease not involving the bone marrow. The intensity of hyaluronan grading was significantly higher in the patients with disease involving the bone marrow compared to the healthy controls but not compared to the patients without disease involving the bone marrow. The staining intensity of reticulin in the bone marrow was significantly higher in the patients with disease involving the bone marrow, compared to those without disease involving the bone marrow and to the controls. In all patients and the controls there was a correlation between hyaluronan and reticulin.

Indexed as

AdultAgedAged, 80 and overBone MarrowExtracellular MatrixFemaleHumansHyaluronic AcidMaleMiddle AgedMyelodysplastic SyndromesNeoplasmsPrimary MyelofibrosisReticulinHyaluronic AcidReticulin

Identifiers

PMID19548126
OpenAlexW1967740816

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.