Evidence map›Paper›PMID 36006871›Full record

ArticleGlobal spine journal2024

Effect of Intraoperative Tranexamic Acid on Perioperative Major Hemorrhage Requiring Transfusion in Patients Undergoing Elective Spine Surgery: A Propensity Score-Matched Analysis Using a National Inpatient Database.

Akira Honda, Yoichi Iizuka, Nobuaki Michihata, Kazuaki Uda, Tokue Mieda, Eiji Takasawa, Sho Ishiwata, Yohei Kakuta, Yusuke Tomomatsu, Shunsuke Ito and 5 more

Open access · goldAbstract read
In one paragraph

Article in Global spine journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. 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

15 authors at 5 institutions in 1 country.

Akira HondaDepartment of Orthopaedic Surgery, Gunma University Graduate School of Medicine, Gunma, Japan.ORCID 0000-0001-8462-6024
Yoichi IizukaDepartment of Orthopaedic Surgery, Gunma University Graduate School of Medicine, Gunma, Japan.
Nobuaki MichihataDepartment of Health Services Research, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Kazuaki UdaDepartment of Health Services Research, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan.
Tokue MiedaDepartment of Orthopaedic Surgery, Gunma University Graduate School of Medicine, Gunma, Japan.
Eiji TakasawaDepartment of Orthopaedic Surgery, Gunma University Graduate School of Medicine, Gunma, Japan.ORCID 0000-0002-7995-6093
Sho IshiwataDepartment of Orthopaedic Surgery, Gunma University Graduate School of Medicine, Gunma, Japan.ORCID 0000-0002-6730-977X
Yohei KakutaDepartment of Orthopaedic Surgery, Gunma University Graduate School of Medicine, Gunma, Japan.
Yusuke TomomatsuDepartment of Orthopaedic Surgery, Gunma University Graduate School of Medicine, Gunma, Japan.
Shunsuke ItoDepartment of Orthopaedic Surgery, Gunma University Graduate School of Medicine, Gunma, Japan.
Kazuhiro InomataDepartment of Orthopaedic Surgery, Gunma University Graduate School of Medicine, Gunma, Japan.
Hiroki MatsuiDepartment of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan.
Kiyohide FushimiDepartment of Health Policy and Informatics, Tokyo Medical and Dental University Graduate School of Medicine, Tokyo, Japan.
Hideo YasunagaDepartment of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan.
Hirotaka ChikudaDepartment of Orthopaedic Surgery, Gunma University Graduate School of Medicine, Gunma, Japan.
Gunma University · JPUniversity of Tokyo Health Sciences · JPThe University of Tokyo · JPTokyo Medical and Dental University · JPUniversity of Tsukuba · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

designRetrospective cohort study.

objectivesThis study aimed to examine whether the use of intravenous TXA in elective spine surgery is associated with reduced perioperative massive hemorrhage requiring transfusion.

methodsWe extracted all patients who underwent decompression with or without fusion surgery for the cervical, thoracic, and lumbar spine between April 2012 and March 2019. The primary outcome was the occurrence of massive hemorrhage requiring transfusion, defined as at least 560 mL of blood transfusion within 2 days of spine surgery or the requirement of additional blood transfusion from 3-7 days postoperatively. Secondary outcomes were the occurrence of thrombotic complications (pulmonary embolism, acute coronary syndrome, and stroke) and postoperative hematoma requiring additional surgery.

resultsWe identified 83,821 eligible patients, with 9747 (12%) patients in the TXA group. Overall, massive hemorrhage requiring transfusion occurred in 781 (.9%) patients. Propensity score matching yielded 8394 pairs. In the matched cohort, the TXA group had a lower proportion of massive hemorrhage requiring transfusion than the control group (.7% vs 1.1%;

conclusionsIn this analysis using real-world data, TXA use in elective spinal surgery was associated with reduced perioperative massive hemorrhage requiring transfusion without increasing thrombotic complications. LEVEL OF EVIDENCE: Prognostic Level Ⅲ.

Indexed as

elective spine surgerymajor hemorrhage requiring transfusionnationwide inpatient databasethrombotic complicationstranexamic acid

Identifiers

PMID36006871
PMCPMC11192125
OpenAlexW4293102983

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.