Evidence map›Paper›PMID 26307127›Full record

ArticleClinical and experimental nephrology2016

Death and kidney allograft dysfunction after bacteremia.

Kenta Ito, Norihiko Goto, Kenta Futamura, Manabu Okada, Takayuki Yamamoto, Makoto Tsujita, Takahisa Hiramitsu, Shunji Narumi, Yoshihiro Tominaga, Yoshihiko Watarai

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Article in Clinical and experimental nephrology, 2016. 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
0.9field-weighted citation impact, top 26% 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, 12 citations in OpenAlex.

  1. Fast and robust invariant generalized linear models.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2025
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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 at 2 institutions in 1 country.

Kenta ItoDepartment of Nephrology, Shizuoka General Hospital, 4-27-1, Kitaando, Aoi-ku, Shizuoka, 420-8527, Japan. pa2.kenta@gmail.com.
Norihiko GotoDepartment of Transplant and Endocrine Surgery, Nagoya Daini Red Cross Hospital, Nagoya, Japan.
Kenta FutamuraDepartment of Transplant and Endocrine Surgery, Nagoya Daini Red Cross Hospital, Nagoya, Japan.
Manabu OkadaDepartment of Transplant and Endocrine Surgery, Nagoya Daini Red Cross Hospital, Nagoya, Japan.
Takayuki YamamotoDepartment of Transplant and Endocrine Surgery, Nagoya Daini Red Cross Hospital, Nagoya, Japan.
Makoto TsujitaDepartment of Transplant and Endocrine Surgery, Nagoya Daini Red Cross Hospital, Nagoya, Japan.
Takahisa HiramitsuDepartment of Transplant and Endocrine Surgery, Nagoya Daini Red Cross Hospital, Nagoya, Japan.
Shunji NarumiDepartment of Transplant and Endocrine Surgery, Nagoya Daini Red Cross Hospital, Nagoya, Japan.
Yoshihiro TominagaDepartment of Transplant and Endocrine Surgery, Nagoya Daini Red Cross Hospital, Nagoya, Japan.
Yoshihiko WataraiDepartment of Transplant and Endocrine Surgery, Nagoya Daini Red Cross Hospital, Nagoya, Japan.
Japanese Red Cross Nagoya Daini Hospital · JPShizuoka General Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSome studies have reported causal associations between bacteremia and mortality or allograft loss in kidney transplant recipients (KTR). However, few studies have assessed the clinical course of kidney function and the risk of acute allograft rejection after bacteremia.

methodsWe retrospectively reviewed 902 kidney transplants performed at Nagoya Daini Red Cross Hospital between January 1, 2002 and March 31, 2014. Forty-five living donor kidney transplant recipients with single bacteremia were included. We analyzed death, change in kidney function, and development of acute allograft rejection 12 months after bacteremia according to the following groups: primary source of bacteremia (urinary tract or other sources), site of acquisition (community acquired or nosocomial), severity (not meeting the systemic inflammatory response syndrome criteria and sepsis or severe sepsis and septic shock), empiric antibiotic use (appropriate or inappropriate), and baseline kidney function (estimated glomerular filtration rate ≤44.7 or ≥44.8 ml/min).

resultsUrinary tract infection (UTI) was the leading cause of bacteremia (68.9 %), and Escherichia coli was the most common pathogen. Three cases (6.7 %) died of infection that caused bacteremia within 12 months. Pneumonia accounted for two-thirds. Kidney function declined 1 week after bacteremia (P < 0.05), particularly in severe cases. Thereafter, kidney function was comparable to baseline level in each group (P ≥ 0.05). Severe UTI was associated with subsequent acute allograft rejection (P = 0.03).

conclusionsPneumonia in KTR should be managed with caution. Kidney function generally returned to baseline level after bacteremia. However, severe UTI may be associated with subsequent acute allograft rejection.

Indexed as

Kidney TransplantationBacteremiaFemaleGlomerular Filtration RateGraft RejectionHumansJapanKidneyMaleMiddle AgedPostoperative ComplicationsRetrospective StudiesAcute allograft rejectionBacteremiaChange in kidney functionKidney transplantationRecipients’ death

Identifiers

PMID26307127
OpenAlexW1875861141

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.