Evidence map›Paper›PMID 24228012›Full record

ArticleTheScientificWorldJournal2013

Prognosis of elderly Japanese patients aged ≥80 years undergoing hemodialysis.

Shingo Hatakeyama, Hiromi Murasawa, Itsuto Hamano, Ayumu Kusaka, Takuma Narita, Masaaki Oikawa, Daisuke Noro, Kazuhisa Hagiwara, Hirofumi Ishimura, Takahiro Yoneyama and 5 more

Abstract read
In one paragraph

Article in TheScientificWorldJournal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Blood Flow Restriction Training in Hemodialysis Patients: Clinical Benefits, Challenges, and Future Perspectives.Hemodialysis international. International Symposium on Home Hemodialysis · 2026
    Review
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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

15 authors.

Shingo HatakeyamaDepartment of Urology, Hirosaki University Graduate School of Medicine, 5 Zaifu-chou, Hirosaki 036-8562, Japan.
Hiromi Murasawa
Itsuto Hamano
Ayumu Kusaka
Takuma Narita
Masaaki Oikawa
Daisuke Noro
Kazuhisa Hagiwara
Hirofumi Ishimura
Takahiro Yoneyama
Yasuhiro Hashimoto
Takuya Koie
Hisao Saitoh
Tomihisa Funyu
Chikara Ohyama

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the number of elderly patients requiring dialysis has increased, data regarding the prognosis of elderly patients undergoing hemodialysis are limited. In the present study, prognosis in Japanese hemodialysis patients aged ≥80 years was evaluated. From January 1988 to July 2013, 1144 consecutive patients with end-stage renal disease required renal replacement therapy at our institution; of these, 141 were aged ≥80 years. These patients' charts were retrospectively reviewed for relevant clinical variables and survival time. The life expectancies table from the National Vital Statistics database was used, and prognostic factors were assessed by multivariate analysis. In total, 107 deaths (76%) were recorded during the study period. The median survival time and estimated life-shortening period in the patients were 2.6 years and -5.3 years, respectively. Eastern Cooperative Oncology Group Performance Status and hemoglobin level were revealed as prognostic factors in the multivariate analysis. Estimates of prognosis and prognostic factors may provide useful information for physicians as well as elderly patients with end-stage kidney disease.

Indexed as

Life ExpectancyAged, 80 and overAge DistributionFemaleFrail ElderlyHumansJapanKidney Failure, ChronicMalePrevalencePrognosisRenal DialysisRisk AssessmentSex DistributionSurvival Rate

Identifiers

PMID24228012
PMCPMC3817639

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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.