Evidence map›Paper›PMID 19151794›Full record

ArticleBone marrow transplantation2009

Intensive glucose control after allogeneic hematopoietic stem cell transplantation: a retrospective matched-cohort study.

S Fuji, S-W Kim, S Mori, S Kamiya, K Yoshimura, H Yokoyama, S Kurosawa, B Saito, T Takahashi, S Kuwahara and 4 more

Abstract read
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In one paragraph

Article in Bone marrow transplantation, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

19 citing papers in PubMed, 32 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

14 authors at 2 institutions in 1 country.

S FujiDepartment of Hematology and Stem Cell Transplantation, National Cancer Center Hospital, Tokyo, Japan.
S-W Kim
S Mori
S Kamiya
K Yoshimura
H Yokoyama
S Kurosawa
B Saito
T Takahashi
S Kuwahara
Y Heike
R Tanosaki
Y Takaue
T Fukuda
The Japanese Data Center for Hematopoietic Cell Transplantation · JPTokyo National Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Some studies have shown that intensive glucose control (IGC) improves outcome in the intensive care unit setting. However, it is the benefit of IGC in hematopoietic SCT (HSCT) that is not well defined. Between June 2006 and May 2007, IGC was maintained prospectively after allogeneic HSCT and clinical outcomes were compared with a cohort matched for conditioning regimen, source of stem cells, age and relation to donor. A stratified Cox regression model was used. There were no significant differences in baseline clinical characteristics. The median age was 43.5 years in both groups. The primary diagnosis was a hematologic malignancy. Patients in the IGC group had a lower glucose level (least-square mean, 116.4 vs 146.8 mg per 100 ml, P<0.001) compared to the standard glucose control group. The incidences of documented infections and bacteremia were significantly lower in the IGC group (14 vs 46%, P=0.004, 9 vs 39%, P=0.002, respectively). IGC tended to reduce the incidence of renal dysfunction (19 vs 37%, P=0.36) and the elevation of C-reactive protein (18 vs 38%, P=0.13). This study suggests that IGC has may have a beneficial effect after HSCT. IGC should be evaluated further in a large prospective, randomized study.

Indexed as

Hematopoietic Stem Cell TransplantationAdolescentAdultAgedBlood GlucoseCase-Control StudiesCohort StudiesFemaleGraft vs Host DiseaseHumansLiving DonorsMaleMiddle AgedRetrospective StudiesTransplantation, HomologousTreatment OutcomeBlood Glucose

Identifiers

PMID19151794
OpenAlexW2065445267

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.