Evidence mapPaperPMID 32769856Full record

ArticlePancreas2020

Multimodal Device and Computer Algorithm-Based Monitoring of Pancreatic Microcirculation Profiles In Vivo.

Yuan Li, Xiaohong Song, Mingming Liu, Bing Wang, Jian Zhang, Ailing Li, Honggang Zhang, Ruijuan Xiu

Open access · greenAbstract read
In one paragraph

Article in Pancreas, 2020. 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
0.5field-weighted citation impact, top 30% 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, 6 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Yuan LiFrom the Institute of Microcirculation, Chinese Academy of Medical Sciences & Peking Union Medical College.
Xiaohong SongFrom the Institute of Microcirculation, Chinese Academy of Medical Sciences & Peking Union Medical College.
Mingming Liu
Bing WangFrom the Institute of Microcirculation, Chinese Academy of Medical Sciences & Peking Union Medical College.
Jian Zhang
Ailing LiFrom the Institute of Microcirculation, Chinese Academy of Medical Sciences & Peking Union Medical College.
Honggang ZhangFrom the Institute of Microcirculation, Chinese Academy of Medical Sciences & Peking Union Medical College.
Ruijuan XiuFrom the Institute of Microcirculation, Chinese Academy of Medical Sciences & Peking Union Medical College.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNPeking Union Medical College Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPancreatic microcirculation has an essential role in orchestrating pancreatic homeostasis. Inherent complexity and technological limitation lead to interobserver variability and 1-sided microcirculatory data. Here, we introduce a multimodal device and computer algorithm-based platform for monitoring and visualizing integrated pancreatic microcirculation profiles.

methodsAfter anesthetizing and exposing pancreas tissue of BALB/c mice, probes of Oxygen to See, Microx TX3, and MoorVMS-LDF2 were positioned at pancreas in situ to capture the pancreatic microcirculatory oxygen (hemoglobin oxygen saturation, relative amount of hemoglobin, and partial oxygen pressure) and microhemodynamic data (microvascular blood perfusion and velocity). To assess and visualize pancreatic microcirculation profiles, raw data of pancreatic microcirculation profiles were processed and transformed using interquartile range and min-max normalization by Python and Apache ECharts.

resultsThe multimodal device-based platform was established and 3-dimensional microcirculatory modules were constructed. Raw data sets of pancreatic microcirculatory oxygen and microhemodynamic were collected. The outlier of data set was adjusted to the boundary value and raw data set was preprocessed. Normalized pancreatic microcirculation profiles were integrated into the 3-dimensional histogram and scatter modules, respectively. The 3-dimensional modules of pancreatic microcirculation profiles were then generated.

conclusionsWe established a multimodal device and computer algorithm-based monitoring platform for visualizing integrated pancreatic microcirculation profiles.

Indexed as

AlgorithmsAnimalsDiagnostic Techniques, CardiovascularEquipment DesignHemodynamicsHumansImaging, Three-DimensionalMaleMice, Inbred BALB CMicrocirculationModels, CardiovascularOxygenPancreasTime FactorsOxygen

Identifiers

PMID32769856
PMCPMC7447165
OpenAlexW3048298756

What Socratic 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 Socratic graph.