Evidence map›Paper›PMID 36326298›Full record

Trial reportCardiovascular journal of Africa

Effects of intra-operative fluid management under the guidance of stroke volume variability on short-term prognosis after thoracoscopic lobectomy.

Feng Zhu, Shaolin Cheng, Yang Yang, Xuan Li, Zhen Tang

Open access · greenAbstract readClinical Trial
In one paragraph

Trial report in Cardiovascular journal of Africa. 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
–field-weighted citation impact, top 74% of its field
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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

5 authors at 1 institution in 1 country.

Feng ZhuDepartment of Cardiothoracic Surgery, Bengbu First People's Hospital, Bengbu, China.
Shaolin ChengDepartment of Cardiothoracic Surgery, Bengbu First People's Hospital, Bengbu, China.
Yang YangDepartment of Cardiothoracic Surgery, Bengbu First People's Hospital, Bengbu, China.
Xuan LiDepartment of Cardiothoracic Surgery, Bengbu First People's Hospital, Bengbu, China.
Zhen TangDepartment of Thoracic Surgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China. Email: yifangang935@163.com.
Bengbu Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimWe aimed to explore the influence of intra-operative fluid management under the guidance of stroke volume variability (SVV) on the short-term prognosis after thoracoscopic lobectomy.

methodsA total of 171 eligible patients from April 2017 to April 2019 were selected. All patients received intra-operative fluid management under the guidance of SVV, and were divided into low-, middle- and high-level groups (

resultsThere were no significant differences in age, gender, operation time, one-lung ventilation time, amount of bleeding, arterial partial pressure of oxygen, arterial partial pressure of carbon dioxide, lung compliance and peak airway pressure at different time points, usage amount of anisodamine and incidence rate of complications among the three groups. In the low-level group, the fluid infusion amount and urine volume were significantly larger, the forced expiratory volume in one second (FEV

conclusionsFluid management under the guidance of low-level SVV (8% ≤ SVV ≤ 9%) was conducive to the maintenance of stable haemodynamics in patients during thoracoscopic lobectomy, thereby improving short-term prognosis.

Indexed as

Arterial PressureHemodynamicsHeart RateHumansPrognosisStroke Volumecomplicationfluid managementshort‐term prognosisstroke volume variabilitythoracoscopic lobectomy

Identifiers

PMID36326298
PMCPMC10031847
OpenAlexW4308056193

What OpenQuestion holds

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Registered trials

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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.