Evidence map›Paper›PMID 38892111›Full record

ReviewInternational journal of molecular sciences2024

Acute Kidney Injury in Sepsis.

Telma Pais, Sofia Jorge, José António Lopes

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 1 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

90 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  19. Community-acquired pneumonia withJournal of thoracic disease · 2026
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30 more citing papers are in PubMed but not listed here.

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.

Telma PaisNephrology and Renal Transplantation Department, Unidade Local de Saúde Santa Maria, 1649-028 Lisbon, Portugal.ORCID 0000-0001-8782-0383
Sofia JorgeNephrology and Renal Transplantation Department, Unidade Local de Saúde Santa Maria, 1649-028 Lisbon, Portugal.
José António LopesNephrology and Renal Transplantation Department, Unidade Local de Saúde Santa Maria, 1649-028 Lisbon, Portugal.ORCID 0000-0001-5563-5132

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis-associated kidney injury is common in critically ill patients and significantly increases morbidity and mortality rates. Several complex pathophysiological factors contribute to its presentation and perpetuation, including macrocirculatory and microcirculatory changes, mitochondrial dysfunction, and metabolic reprogramming. Recovery from acute kidney injury (AKI) relies on the evolution towards adaptive mechanisms such as endothelial repair and tubular cell regeneration, while maladaptive repair increases the risk of progression to chronic kidney disease. Fundamental management strategies include early sepsis recognition and prompt treatment, through the administration of adequate antimicrobial agents, fluid resuscitation, and vasoactive agents as needed. In septic patients, organ-specific support is often required, particularly renal replacement therapy (RRT) in the setting of severe AKI, although ongoing debates persist regarding the ideal timing of initiation and dosing of RRT. A comprehensive approach integrating early recognition, targeted interventions, and close monitoring is essential to mitigate the burden of SA-AKI and improve patient outcomes in critical care settings.

Indexed as

Acute Kidney InjurySepsisCritical IllnessHumansRenal Replacement Therapyacute kidney injurysepsissepsis-associated acute kidney injurysepsis-induced acute kidney injuryseptic shocktreatment

Identifiers

PMID38892111
PMCPMC11172431

What OpenQuestion holds

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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.