Evidence map›Paper›PMID 18956213›Full record

ArticleJournal of cancer research and clinical oncology2009

Diagnosis of unknown nonhematological tumors by bone marrow biopsy: a retrospective analysis of 10,112 samples.

Li Xiao, Song Luxi, Tao Ying, Liu Yizhi, Wu Lingyun, Pu Quan

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Article in Journal of cancer research and clinical oncology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.9field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

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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

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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

16 citing papers in PubMed, 33 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

6 authors at 1 institution in 1 country.

Li XiaoDepartment of Hematology, the Sixth Hospital affiliated to Shanghai Jiaotong University, Shanghai, China. lixiao3326@yahoo.com.cn
Song Luxi
Tao Ying
Liu Yizhi
Wu Lingyun
Pu Quan
Shanghai Sixth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate how unselected bone marrow (BM) biopsy examinations could help in the diagnosis of clinically unknown nonhematological tumors.

methods10,112 plastic-embedded BM biopsy sections were retrospectively analyzed. In the analysis we focused on the following aspects: (1) the frequency of BM involvement arising from clinically unknown nonhematological malignancies, (2) the clinical indication for BM biopsy examination in cases with tumor BM metastasis, (3) the primary sites of the metastatic tumors, and (4) the advantage of plastic-embedded biopsy sections over paraffin-embedded samples and the complementarity of biopsy with aspiration smears.

resultsOf the 10,112 BM samples analyzed, 101 (1.0%) were interpreted as being nonhematological tumor metastases. In cases with metastatic tumors, the nonhemocyte-related changes, such as skeletal pain (25%) and bone destruction (5%), were considerably higher than in those without metastasis (3.7 and 0.32%, respectively; P < 0.001). Primary lesions were documented antemortem in 50 of the 101 biopsy-positive cases (49.5%); the most frequent being in the lung, gastric tract, and breast. Using this assay, a higher incidence of metastatic tumors was detected when compared with previously reported paraffin-embedded samples. The frequency of metastatic tumors based on aspiration smears when the positive results for biopsy sections were used as a reference was 74.3%. All the 101 sections with metastatic tumors showed various degrees of myelofibrosis.

conclusionsWe concluded that the routine BM biopsy examination is helpful in detecting insidious metastatic nonhematological malignancies. Skeletal pain and bone destruction are critical indications for susceptible patients to undergo BM examination. Plastic embedding of biopsy sections appears to be more sensitive than the paraffin embedding of samples and is an excellent complementation to isolated aspiration smears.

Indexed as

AnemiaAtrophyBiopsy, NeedleBone and BonesBone MarrowCarcinoma, Small CellFemaleHumansLung NeoplasmsMaleNeoplasm MetastasisNeoplasmsOvarian NeoplasmsPainRetrospective StudiesSplenomegaly

Identifiers

PMID18956213
PMCPMC12160163
OpenAlexW2081162313

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.