Evidence map›Paper›PMID 34189135›Full record

Trial reportBioMed research international2021

Prophylactic Norepinephrine Infusion Reduces Postoperative Complications and Hospitalization Time in Elderly Patients Undergoing Posterior Lumbar Spinal Fusion.

Tao Liang, Jianshe Yu, Libiao Li, Yaying Xie, Fan Wu

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

7 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
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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 at 2 institutions in 1 country.

Tao LiangDepartment of Anesthesiology, Xuanwu Hospital, Capital Medical University, Beijing 100000, China.ORCID https://orcid.org/0000-0003-4725-3016
Jianshe YuDepartment of Anesthesiology, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010050, China.
Libiao LiDepartment of Anesthesiology, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010050, China.
Yaying XieDepartment of Anesthesiology, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010050, China.
Fan WuDepartment of Anesthesiology, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010050, China.ORCID https://orcid.org/0000-0003-1226-6984
Inner Mongolia Medical University · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This single-center prospective randomized controlled trial explores the effect of prophylactic norepinephrine infusion on the incidence of complications and hospitalization time in elderly patients (60-85 years old) undergoing posterior lumbar spinal fusion. In total, 129 elderly patients were randomized into two groups: a group that received norepinephrine during general anesthesia and a control group not receiving norepinephrine. The primary outcomes were in-hospital complications and 90-day postoperative complications and hospitalization time. The results show that in-hospital complications occurred in 24 of 60 patients (40%) in the control group versus 11 of 60 patients (18.3%) in the norepinephrine group (RR, 2.182; 95% CI, 1.177-4.045;

Indexed as

AgedAged, 80 and overAnesthesiaAnesthesia, GeneralChemopreventionChinaFemaleHeart RateHeparan SulfateHospitalizationHumansHyaluronic AcidIncidenceIntraoperative PeriodLength of StayLumbar VertebraeHeparan SulfateHyaluronic AcidNorepinephrineSDC1 protein, humanSyndecan-1

Identifiers

PMID34189135
PMCPMC8195642
OpenAlexW3167214811

What OpenQuestion holds

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LicenceCC BY
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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.