Evidence map›Paper›PMID 16935969›Full record

ReviewJournal of clinical pathology2006

Optimal processing of bone marrow trephine biopsy: the Hammersmith Protocol.

K N Naresh, I Lampert, R Hasserjian, D Lykidis, K Elderfield, D Horncastle, N Smith, W Murray-Brown, G W Stamp

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of clinical pathology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
7.2field-weighted citation impact, top 2% 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

15 citing papers in PubMed, 76 citations in OpenAlex.

  1. Article
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  6. Article
  7. Harnessing RNAi-based nanomedicines for therapeutic gene silencing in B-cell malignancies.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  8. Article
  9. Bone marrow metastasis of prostatic adenocarcinoma with post-treatment foamy-like changes: A diagnostic pitfall.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2014
    Article
  10. Article
  11. Review
  12. Article
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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

9 authors at 1 institution in 1 country.

K N NareshDepartment of Histopathology, Hammersmith Hospital, London, UK. k.naresh@imperial.co.uk
I Lampert
R Hasserjian
D Lykidis
K Elderfield
D Horncastle
N Smith
W Murray-Brown
G W Stamp
Hammersmith Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Specimens of bone marrow trephine biopsy (BMT) are transported and fixed in acetic acid-zinc-formalin fixative, decalcified in 10% formic acid-5% formaldehyde and processed with other specimens to paraffin-wax embedding. Sections, 1-microm-thick, are cut by experienced histotechnologists and used for haematoxylin and eosin, Giemsa, reticulin silver and other histological stains. Further, all immunohistochemical procedures used in the laboratory, including double immunostaining, can be used on these sections with no or minimal modifications. About 10,000 BMT specimens have been analysed using this procedure since 1997 and diseases involving the bone marrow have been classified successfully. More recently, standardised polymerase chain reaction-based analysis and mRNA in situ hybridisation studies have been conducted. Excellent morphology with good antigen, DNA and RNA preservation is offered by the Hammersmith Protocol.

Indexed as

BiopsyBone MarrowBone Marrow ExaminationClinical ProtocolsDNA, NeoplasmHumansPolymerase Chain ReactionStaining and LabelingTissue FixationDNA, Neoplasm

Identifiers

PMID16935969
PMCPMC1860463
OpenAlexW2076301301

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.