Evidence map›Paper›PMID 39871284›Full record

ReviewJournal of cardiothoracic surgery2025

Monitoring of perioperative tissue perfusion and impact on patient outcomes.

Bin Li, Yuchen Dai, Wenlan Cai, Menghan Sun, Jie Sun

Abstract readReview
In one paragraph

Review in Journal of cardiothoracic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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.

  1. Article
  2. Review
  3. Review
  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

5 authors.

Bin LiDepartment of Anesthesiology, Zhongda hospital, Southeast University, No. 87 Dingjiaqiao, Nanjing City, 210009, Jiangsu Province, China.
Yuchen DaiSoutheast University School of Medicine, No. 87 Dingjiaqiao, Nanjing City, 210009, Jiangsu Province, China.
Wenlan CaiSoutheast University School of Medicine, No. 87 Dingjiaqiao, Nanjing City, 210009, Jiangsu Province, China.
Menghan SunDepartment of Anesthesiology, Zhongda hospital, Southeast University, No. 87 Dingjiaqiao, Nanjing City, 210009, Jiangsu Province, China.
Jie SunDepartment of Anesthesiology, Zhongda hospital, Southeast University, No. 87 Dingjiaqiao, Nanjing City, 210009, Jiangsu Province, China. dgsunjie@hotmail.com.

Funding

Scientific Research Project of Jiangsu Provincial Health Commission Scientific Research Project of Jiangsu Provincial Health CommissionZhongda Hospital Affiliated to Southeast University, Jiangsu Province High-Level Hospital Construction Funds 2024GSPKY21
6 · The paper itself

Abstract

Monitoring perioperative tissue perfusion is crucial in clinical anesthesia to protect organs and ensure patient safety. Indicators like hemodynamic parameters, tissue metabolism, and microcirculation markers are used for assessment. Studies show intraoperative hypotension negatively impacts outcomes, though blood pressure alone may not reflect tissue perfusion accurately. Cardiac output is a more direct measure, with adequate levels generally indicating good perfusion. However, some conditions cause adequate cardiac output but inadequate perfusion. Non-quantitative markers like skin color and temperature, and quantitative indicators like tissue oxygen saturation and laser Doppler flowmetry, help assess microcirculation but can't fully evaluate systemic perfusion. Near-Infrared Spectroscopy (NIRS) monitors tissue oxygen metabolism, reflecting oxygen supply and consumption balance. Central venous oxygen saturation offers a better systemic overview but may not always indicate good perfusion, especially in sepsis. Lactic acid levels closely correlate with tissue perfusion and outcomes, with dynamic changes being more indicative than single measurements. Effective monitoring requires evaluating both macro- and microcirculation states and systemic metabolic levels to ensure optimal outcomes. Combining these measures provides a more accurate assessment of tissue perfusion and patient prognosis.

Indexed as

Monitoring, IntraoperativePerioperative CareCardiac OutputHemodynamicsHumansLaser-Doppler FlowmetryMicrocirculationSpectroscopy, Near-InfraredHemodynamicMetabolic indicatorsPatient outcomesPerioperativeTissue perfusion monitoring

Identifiers

PMID39871284
PMCPMC11771054

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.