Evidence map›Paper›PMID 30793845›Full record

ArticleJournal of hepato-biliary-pancreatic sciences2019

Acute kidney injury after hepatectomy can be reasonably predicted after surgery.

Minjae Kim, Ravi P Kiran, Guohua Li

Abstract read
In one paragraph

Article in Journal of hepato-biliary-pancreatic sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Serial Living Solid Organ Donation: An Ethical Analysis.Journal of evaluation in clinical practice · 2025
    Article
  4. Article
  5. Article
  6. Development and validation of a risk calculator for post-discharge venous thromboembolism following hepatectomy for malignancy.HPB : the official journal of the International Hepato Pancreato Biliary Association · 2021
    Article
  7. Observational
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

3 authors.

Minjae KimDepartment of Anesthesiology, Columbia University Medical Center, 622 West 168th Street, PH 5, Suite 505C, New York, NY 10032, USA.
Ravi P KiranDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Guohua LiDepartment of Anesthesiology, Columbia University Medical Center, 622 West 168th Street, PH 5, Suite 505C, New York, NY 10032, USA.

Funding

Institutional Career Development CoreKL2TR001874 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GENKINGER, JEANINE M., SHIMBO, DAICHI · 2016 to 2025
$13.6M
National Center for Advancing Translational SciencesNational Institutes of Health KL2TR001874NCATS NIH HHS KL2 TR001874
6 · The paper itself

Abstract

backgroundHepatectomy presents unique challenges potentially heightening acute kidney injury (AKI) risk, but the full spectrum of risk factors has not been identified.

methodsData for hepatectomy patients in the 2016 American College of Surgeons National Surgical Quality Improvement Program (n = 3,814) was randomly split into derivation (70%) and validation (30%) cohorts. AKI was defined as an increase in serum creatinine ≥0.3 mg/dl or ≥1.5-fold above the preoperative value within 30 days of surgery. Multivariable logistic regression assessed preoperative and intraoperative risk factors for AKI.

resultsOf 2,692 patients (derivation cohort), 432 (16%) developed AKI. Risk factors were the following: age (years; adjusted odds ratio [aOR] 1.016 [95% confidence interval 1.006-1.026], female sex (aOR 0.65 [0.51-0.82]), body mass index (kg/m

conclusionsPostoperative AKI affects one in six hepatectomy patients; preoperative and intraoperative factors can predict the risk of postoperative AKI.

Indexed as

HepatectomyAcute Kidney InjuryForecastingHumansAcute kidney injuryHepatectomyOperativeRisk assessmentSurgical procedures

Identifiers

PMID30793845
PMCPMC6453720

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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.