Evidence map›Paper›PMID 24171717›Full record

ArticleBMC nephrology2013

The Great East Japan Earthquake affected the laboratory findings of hemodialysis patients in Fukushima.

Nobuhiro Haga, Junya Hata, Michihiro Yabe, Kei Ishibashi, Norio Takahashi, Ken Kumagai, Souichiro Ogawa, Masao Kataoka, Hidenori Akaihata, Yoshiyuki Kojima

Abstract readMulticenter Study
In one paragraph

Article in BMC nephrology, 2013. 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
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. 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

10 authors.

Nobuhiro HagaDepartment of Urology, Fukushima Medical University School of Medicine, Fukushima, Japan 1 Hikarigaoka, Fukushima 960-1295, Japan. pessoco@fmu.ac.jp.
Junya Hata
Michihiro Yabe
Kei Ishibashi
Norio Takahashi
Ken Kumagai
Souichiro Ogawa
Masao Kataoka
Hidenori Akaihata
Yoshiyuki Kojima

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of the present study was to investigate the impact of the Great East Japan Earthquake on laboratory findings in chronic hemodialysis (HD) patients in Fukushima.

methodsChanges in laboratory findings and cardiothoracic ratio (CTR) between before and after the earthquake were retrospectively analyzed in 90 adult HD patients with end-stage renal disease (ESRD). Two hospitals located within 80 km from the Fukushima Daiichi Nuclear Power Plant, where American government recommended to evacuate from the area, participated in the study. HD duration was shortened by 0.5-1 hour for 1 month after the earthquake. Multivariate analyses were performed to identify the factors contributing to change of measurement values.

resultsBlood urea nitrogen (BUN) value was significantly transiently decreased for 1-2 weeks after the earthquake (P=0.002). In multivariate analysis, age showed a tendency to be related to the decrease of BUN level (P=0.05). Hematocrit value was significantly elevated after two months compared with that at baseline (P=0.02), although the elevation was small. The other measured values and CTR were not significantly changed compared with those before the earthquake.

conclusionsLaboratory findings and CTR did not worsen despite the shortening of HD duration. Hence, in this disaster, as far as chronic HD patients with ESRD were concerned, it was possible for the duration of HD treatment to be safely decreased.

Indexed as

Fukushima Nuclear AccidentAdultAgedAged, 80 and overClinical Laboratory TechniquesDisastersEarthquakesFemaleHumansJapanKidney Failure, ChronicMaleMiddle AgedPrevalenceRenal DialysisReproducibility of Results

Identifiers

PMID24171717
PMCPMC4228435

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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.