Evidence map›Paper›PMID 36311236›Full record

ReviewFrontiers in physiology2022

Intrarenal Doppler approaches in hemodynamics: A major application in critical care.

Xiaoling Qian, Junhai Zhen, Qingxiang Meng, Li Li, Jing Yan

Abstract readReview
In one paragraph

Review in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Review
  3. Observational
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  5. Review
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  9. Review
  10. Assessing volume status in heart failure: The role of renal duplex ultrasound in evaluating cardiorenal morbidity and heart failure mortality.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2025
    Article
  11. Review
  12. Article
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  15. Article
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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

5 authors.

Xiaoling QianThe Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China.
Junhai ZhenDepartment of Critical Care Medicine, Zhejiang Hospital, Hangzhou, China.
Qingxiang MengDepartment of Ultrasound Medicine, Zhejiang Hospital, Hangzhou, China.
Li LiDepartment of Critical Care Medicine, Zhejiang Hospital, Hangzhou, China.
Jing YanDepartment of Critical Care Medicine, Zhejiang Hospital, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The treatment of severe cases usually requires multimodality hemodynamic monitoring approaches, particularly for tissue and organ perfusion tracking. Currently, only a few studies have investigated renal perfusion status at the bedside. Ultrasound has become increasingly utilized to guide the hemodynamic management of severe patients. Similarly, intrarenal Doppler (IRD) is widely used to assess renal perfusion from both the intrarenal artery and vein perspectives. The renal resistive index (RRI), which reflects the renal arterial blood flow profile, is often applied to predict the reversibility of renal dysfunction and to titrate hemodynamic support. Intrarenal venous flow (IRVF) patterns and the renal venous stasis index (RVSI), which reflects the intrarenal vein blood flow profile, are now being used to assess intravenous congestion. They may also be useful in predicting the risk of acute kidney injury and avoiding fluid overload. IRD can provide diverse and supplemental information on renal perfusion and may help to establish the early diagnosis in severe patients. This review focused on the specific operational methods, influencing factors, and applications of IRD in hemodynamics.

Indexed as

Doppler ultrasoundhemodynamicsintrarenal venous flow patternrenal resistive indexrenal venous stasis index

Identifiers

PMID36311236
PMCPMC9597190

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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.