Evidence map›Paper›PMID 27492273›Full record

ArticleJournal of clinical pharmacology2016

Proton Pump Inhibitors Are Not Associated With Acute Kidney Injury in Critical Illness.

Joon Lee, Roger G Mark, Leo Anthony Celi, John Danziger

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 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

4 authors at 2 institutions in 2 countries.

Joon LeeHarvard-MIT Division of Health Sciences and Technology, Cambridge, MA, USA.
Roger G MarkHarvard-MIT Division of Health Sciences and Technology, Cambridge, MA, USA.
Leo Anthony CeliHarvard-MIT Division of Health Sciences and Technology, Cambridge, MA, USA.
John DanzigerBeth Israel Deaconess Medical Center, Department of Medicine, Boston, MA, USA.
Harvard–MIT Division of Health Sciences and Technology · USBeth Israel Deaconess Medical Center · US

Funding

Integrating Data, Models, and Reasoning in Critical CareR01EB001659 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI MARK, ROGER GREENWOOD · 2003 to 2012
$9.8M
Research Resource for Complex Physiologic SignalsR01GM104987 · NIGMS · BETH ISRAEL DEACONESS MEDICAL CENTER · PI GOLDBERGER, ARY LOUIS, MARK, ROGER GREENWOOD · 2012 to 2019
$5.8M
Critical Care Informatics: Ethical considerations around the use and sharing of health-related dataR01EB017205 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI CELI, LEO ANTHONY G, MARK, ROGER GREENWOOD · 2014 to 2021
$3.8M
NIBIB NIH HHS R01 EB001659NIBIB NIH HHS R01 EB017205NIGMS NIH HHS R01 GM104987
6 · The paper itself

Abstract

Recent epidemiologic data linking proton pump inhibitor (PPI) use to acute and chronic kidney dysfunction is yet to be validated in other populations, and mechanisms have not been explored. Using a large, well phenotyped inception cohort of 15 063 critically ill patients, we examined the risk of acute kidney injury (AKI), as defined by the Kidney Disease Improving Global Outcomes criteria guidelines, according to prior use of a PPI, histamine-2 receptor antagonist (H

Indexed as

Acute Kidney InjuryAdultAgedAged, 80 and overCohort StudiesCritical IllnessDatabases, FactualFemaleHumansMaleMiddle AgedProton Pump InhibitorsProton Pump Inhibitorsacute kidney injuryhistamine receptor antagonist blockerproton pump inhibitor

Identifiers

PMID27492273
PMCPMC5154974
OpenAlexW2476580486

What OpenQuestion holds

Textmetadata
LicenceTDM
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.