Evidence map›Paper›PMID 40156069›Full record

ArticlePerioperative medicine (London, England)2025

Carotid corrected flow time and Doppler shock index for prediction of post-induction hypotension in patients undergoing elective abdominal surgery: a prospective observational study.

Tao Sun, Kangli Hui, Liwen Ren, Mengtong Han, Xiaoyun Shen, Jingwei Xiong, Hongwei Qi, Manlin Duan

Abstract read
In one paragraph

Article in Perioperative medicine (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

8 authors.

Tao Sun *Department of Anesthesiology, Affiliated Hospital of Medical School, Nanjing Jinling Hospital, Nanjing University, Zhongshan East Road #305, Nanjing, 210002, China.
Kangli Hui *Department of Anesthesiology, Affiliated Hospital of Medical School, Nanjing Jinling Hospital, Nanjing University, Zhongshan East Road #305, Nanjing, 210002, China.
Liwen RenDepartment of Anesthesiology, Affiliated Hospital of Medical School, Nanjing Jinling Hospital, Nanjing University, Zhongshan East Road #305, Nanjing, 210002, China.
Mengtong HanCollege of Anesthesiology, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Xiaoyun ShenCollege of Anesthesiology, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Jingwei XiongDepartment of Anesthesiology, Affiliated Hospital of Medical School, Nanjing Jinling Hospital, Nanjing University, Zhongshan East Road #305, Nanjing, 210002, China.
Hongwei QiCollege of Anesthesiology, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Manlin DuanDepartment of Anesthesiology, Affiliated Hospital of Medical School, Nanjing Jinling Hospital, Nanjing University, Zhongshan East Road #305, Nanjing, 210002, China. dml1200@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAbdominal surgical patients who have deficient blood volume are at an elevated risk of post-induction hypotension (PIH). New strategies have been adopted, i.e., carotid ultrasound, to evaluate volume status. The study aimed to investigate and compare the predictive value of various carotid ultrasound parameters for PIH.

methodsAdult patients scheduled for abdominal surgery were enrolled. Carotid ultrasound was performed before induction to evaluate the carotid flow time (FT), carotid artery velocity time integral (VTI), and Doppler shock index (the DSI

resultsFinally, 94 patients were analyzed, and of those, 40 (42.6%) developed PIH. The areas under the curve for FT, FTc(W), 1/DSI

conclusionCarotid flow time corrected by Wodey's formula was a reliable indicator of PIH in patients undergoing elective abdominal surgery, superior to FT, DSI

Indexed as

Carotid corrected flow timeCarotid ultrasoundDoppler shock indexElective abdominal surgeryPost-induction hypotension

Identifiers

PMID40156069
PMCPMC11954297

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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.