Evidence map›Paper›PMID 40302012›Full record

ReviewNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2025

Chronic lung diseases and kidney disease: pathophysiology and management.

Silvia De Rosa, Sergio Lassola, Fabio Silvio Taccone, Denise Battaglini

Abstract readReview
In one paragraph

Review in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
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.

Silvia De RosaCentre for Medical Sciences - CISMED - Interdepartmental Center for Medical Sciences, University of Trento, Trento, Italy.ORCID 0000-0001-8987-4596
Sergio LassolaDepartment of Anesthesia and Intensive Care, Santa Chiara Hospital, APSS Trento, Trento, Italy.
Fabio Silvio TacconeDepartment of Intensive Care, Hôpital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles (ULB), Brussels, Belgium.ORCID 0000-0003-0830-1628
Denise BattagliniDepartment of Anesthesia and Intensive Care, IRCCS Ospedale Policlinico San Martino, Genova, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute kidney injury (AKI) is a critical complication in patients with chronic lung diseases (CLD), particularly during acute exacerbations. This review focuses on the pathophysiological mechanisms linking CLD to AKI and highlights key clinical strategies to mitigate its impact. CLD patients with pre-existing kidney dysfunction face an increased risk of AKI due to impaired gas exchange, systemic inflammation, and neurohormonal activation. Hypoxemia and hypercapnia contribute to kidney hypoperfusion, endothelial dysfunction, and sodium-water imbalances, exacerbating renal injury. Current management strategies prioritize minimizing mechanical ventilation-related damage, optimizing hemodynamics, and preventing AKI progression. A multidisciplinary approach is essential to improving outcomes, emphasizing early identification and targeted interventions for CLD-associated AKI.

Indexed as

Acute Kidney InjuryKidney DiseasesLung DiseasesChronic DiseaseDisease ManagementHumansacute kidney injurychronic kidney diseasechronic lung diseasehypoxemiapulmonary-renal cross-talk

Identifiers

PMID40302012
PMCPMC12722172

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.