Evidence map›Paper›PMID 41029416›Full record

ArticleJournal of intensive care2025

Changes in internal jugular vein respiratory variation during tidal volume challenge predict volume responsiveness in lumbar surgery under protective ventilation: a prospective cohort study.

Mimi Wu, Jie Xu, Xiaojie Liu, Yuanyuan Dong, Yu'e Sun, Xiaoping Gu, Jinhua Bo

Abstract read
In one paragraph

Article in Journal of intensive care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Mimi Wu *Department of Anesthesiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, People's Republic of China.
Jie Xu *Department of Anesthesiology, Nanjing Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, People's Republic of China.
Xiaojie LiuDepartment of Anesthesiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, People's Republic of China.
Yuanyuan DongDepartment of Anesthesiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, People's Republic of China.
Yu'e SunDepartment of Anesthesiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, People's Republic of China. sunyue@nju.edu.cn.
Xiaoping GuDepartment of Anesthesiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, People's Republic of China. xiaopinggu@nju.edu.cn.
Jinhua BoDepartment of Anesthesiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, People's Republic of China. bojinhua@njglyy.com.

Funding

grants from National Nature Science Foundation of China 82071229
6 · The paper itself

Abstract

backgroundInternal jugular vein respiratory variation (IJVV) has been proposed as a dynamic predictor of fluid responsiveness. However, its utility is limited in patients with low tidal volume (Vt) ventilation in the prone position. We conducted this study to determine whether a transient increase in Vt from 6 to 8 ml kg

methodsThis was a prospective study conducted in the operating room. Patients were studied at baseline (a Vt of 6 ml kg

resultsSixty-one patients were included in the study, 31 (50.82%) of whom were deemed volume responsive. The ΔIJVV

conclusionsIn patients undergoing posterior lumbar surgery with low Vt ventilation, changes in IJVV during a TVC effectively predict volume responsiveness and are more reliable than IJVV, PPV, and SVV in this surgical context.

Indexed as

Fluid responsivenessInternal jugular veinLow tidal volumePosterior lumbar surgeryPulse pressure variationTidal volume challenge

Identifiers

PMID41029416
PMCPMC12486619

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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.