Evidence map›Paper›PMID 25802835›Full record

Observational studyBioMed research international2015

Bone marrow pathology predicts mortality in chronic hemodialysis patients.

Cheng-Hao Weng, Kuan-Ying Lu, Ching-Chih Hu, Wen-Hung Huang, I-Kwan Wang, Tzung-Hai Yen

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 28% 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, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. 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

6 authors at 4 institutions in 1 country.

Cheng-Hao WengDepartment of Nephrology and Division of Clinical Toxicology, Chang Gung Memorial Hospital, Linkou 333, Taiwan ; College of Medicine, Chang Gung University, Taoyuan 333, Taiwan ; Kidney Research Center, Chang Gung Memorial Hospital, Linkou 333, Taiwan.
Kuan-Ying LuDepartment of Nephrology and Division of Clinical Toxicology, Chang Gung Memorial Hospital, Linkou 333, Taiwan ; College of Medicine, Chang Gung University, Taoyuan 333, Taiwan.
Ching-Chih HuCollege of Medicine, Chang Gung University, Taoyuan 333, Taiwan ; Department of Hepatogastroenterology and Liver Research Unit, Chang Gung Memorial Hospital, Keelung 204, Taiwan.
Wen-Hung HuangDepartment of Nephrology and Division of Clinical Toxicology, Chang Gung Memorial Hospital, Linkou 333, Taiwan ; College of Medicine, Chang Gung University, Taoyuan 333, Taiwan ; Kidney Research Center, Chang Gung Memorial Hospital, Linkou 333, Taiwan.
I-Kwan WangDepartment of Nephrology, China Medical University Hospital, Taichung 404, Taiwan ; College of Medicine, China Medical University, Taichung 404, Taiwan.
Tzung-Hai YenDepartment of Nephrology and Division of Clinical Toxicology, Chang Gung Memorial Hospital, Linkou 333, Taiwan ; College of Medicine, Chang Gung University, Taoyuan 333, Taiwan ; Kidney Research Center, Chang Gung Memorial Hospital, Linkou 333, Taiwan ; Center for Tissue Engineering, Chang Gung Memorial Hospital, Linkou 333, Taiwan.
Chang Gung Memorial Hospital · TWChang Gung University · TWChina Medical University Hospital · TWKeelung Chang Gung Memorial Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionA bone marrow biopsy is a useful procedure for the diagnosis and staging of various hematologic and systemic diseases. The objective of this study was to investigate whether the findings of bone marrow studies can predict mortality in chronic hemodialysis patients.

methodsSeventy-eight end-stage renal disease patients on maintenance hemodialysis underwent bone marrow biopsies between 2000 and 2011, with the most common indication being unexplained anemia followed by unexplained leukocytosis and leukopenia.

resultsThe survivors had a higher incidence of abnormal megakaryocyte distribution (P = 0.001), band and segmented cells (P = 0.021), and lymphoid cells (P = 0.029) than the nonsurvivors. The overall mortality rate was 38.5% (30/78), and the most common cause of mortality was sepsis (83.3%) followed by respiratory failure (10%). In multivariate Cox regression analysis, both decreased (OR 3.714, 95% CI 1.671-8.253, P = 0.001) and absent (OR 9.751, 95% CI 2.030-45.115, P = 0.004) megakaryocyte distribution (normal megakaryocyte distribution as the reference group), as well as myeloid/erythroid ratio (OR 1.054, CI 1.012-1.098, P = 0.011), were predictive of mortality.

conclusionThe results of a bone marrow biopsy can be used to assess the pathology, and, in addition, myeloid/erythroid ratio and abnormal megakaryocyte distribution can predict mortality in chronic hemodialysis patients.

Indexed as

AgedBone MarrowFemaleHumansKidney Failure, ChronicLeukocytosisLeukopeniaMaleMegakaryocytesMiddle AgedRenal DialysisRetrospective Studies

Identifiers

PMID25802835
PMCPMC4354719
OpenAlexW2024580074

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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.