Evidence map›Paper›PMID 36542868›Full record

ArticleInternational wound journal2023

Smartphone-based infrared thermography to assess progress in thoracic surgical incision healing: A preliminary study.

Fanfan Li, Min Wang, Ting Wang, Xiaolan Wang, Xiaoli Ma, Hua He, Guojing Ma, Dan Zhao, Qin Yue, Panpan Wang and 1 more

Abstract read
In one paragraph

Article in International wound journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Observational
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. 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

11 authors.

Fanfan LiDepartment of Thoracic Surgery, The First Hospital of Lanzhou University, Lanzhou, People's Republic of China.
Min WangDepartment of Thoracic Surgery, The First Hospital of Lanzhou University, Lanzhou, People's Republic of China.
Ting WangDepartment of Thoracic Surgery, The First Hospital of Lanzhou University, Lanzhou, People's Republic of China.
Xiaolan WangDepartment of Thoracic Surgery, The First Hospital of Lanzhou University, Lanzhou, People's Republic of China.
Xiaoli MaDepartment of Thoracic Surgery, The First Hospital of Lanzhou University, Lanzhou, People's Republic of China.
Hua HeDepartment of Thoracic Surgery, The First Hospital of Lanzhou University, Lanzhou, People's Republic of China.
Guojing MaDepartment of Thoracic Surgery, The First Hospital of Lanzhou University, Lanzhou, People's Republic of China.
Dan ZhaoDepartment of Thoracic Surgery, The First Hospital of Lanzhou University, Lanzhou, People's Republic of China.
Qin YueDepartment of Thoracic Surgery, The First Hospital of Lanzhou University, Lanzhou, People's Republic of China.
Panpan WangDepartment of Thoracic Surgery, The First Hospital of Lanzhou University, Lanzhou, People's Republic of China.
Minjie MaDepartment of Thoracic Surgery, The First Hospital of Lanzhou University, Lanzhou, People's Republic of China.ORCID https://orcid.org/0000-0002-5570-1360

Funding

Gansu Provincial Youth Science and Technology Fund 18JR3RA305Gansu Provincial Youth Science and Technology Fund 21JR1RA107Natural Science Foundation of Gansu Province 21JR1RA092Natural Science Foundation of Gansu Province 21JR1RA118
6 · The paper itself

Abstract

Immediate assessment of surgical incisions is an important component of wound management, and the development of relevant technologies has the potential to address these challenges. Smartphone-based handheld thermal imagers can collect infrared radiation from the skin to monitor local blood perfusion and metabolic levels in incisions. Here, we used this imaging technology for early assessment of healing progress and potential for predicting the healing status of thoracic surgical incisions. Thermal image acquisition and temperature extraction were performed on 40 patients for 7 consecutive days postoperatively, and visualised early warning information was observed, with temperature and temperature readings showing non-linear trajectory changes during the measurement period, and temperature readings on day 4 achieving high prediction of healing status at 1-2 months capability with sensitivities and specificities of 91.67% and 85.71%, respectively, suggesting a promising clinical application of portable thermography for assessing incision healing dynamics and providing a scientific basis for later artificial intelligence-driven decision algorithms.

Indexed as

Surgical WoundThermographyArtificial IntelligenceHumansSmartphoneWound Healingchest incisionhealing progressinfrared thermographypredictionwound care

Identifiers

PMID36542868
PMCPMC10333002

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.