Evidence map›Paper›PMID 42039714›Full record

ReviewJournal of medical physics

Heat for Healing: A Review of Infrared Thermography in Medical Diagnostics and Therapy.

Bitesh Kumar, Vishesh Jain, Devendra Kumar Yadav, Anjan Kumar Dhua, Prabudh Goel, Divya Jain, Shubhendu Singh

Abstract readReview
In one paragraph

Review in Journal of medical physics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Bitesh KumarDepartment of Pediatric Surgery, All India Institute of Medical Science, New Delhi, India.
Vishesh JainDepartment of Pediatric Surgery, All India Institute of Medical Science, New Delhi, India.
Devendra Kumar YadavDepartment of Pediatric Surgery, All India Institute of Medical Science, New Delhi, India.
Anjan Kumar DhuaDepartment of Pediatric Surgery, All India Institute of Medical Science, New Delhi, India.
Prabudh GoelDepartment of Pediatric Surgery, All India Institute of Medical Science, New Delhi, India.
Divya JainDepartment of Ophthalmology, Post Graduate Institute of Child Health, Noida, Uttar Pradesh, India.
Shubhendu SinghDepartment of Microbiology, Santosh Deemed to be University, Ghaziabad, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infrared thermography (IRT) is an emerging noninvasive imaging modality that provides real-time, contactless assessment of skin surface temperature, reflecting underlying vascular perfusion. This narrative review explores the principles, clinical utility, advantages, limitations, and future potential of IRT in vascular diagnostics and monitoring. IRT has demonstrated diagnostic relevance across a spectrum of vascular conditions, including peripheral arterial disease, diabetic foot complications, venous insufficiency, Raynaud's phenomenon, and postoperative vascular monitoring. Its key benefits - such as radiation-free imaging, portability, and dynamic functional assessment - make it especially valuable for use in vulnerable populations and resource-limited settings. However, challenges such as environmental sensitivity, lack of standardized imaging protocols, and limited specificity necessitate further validation. With the integration of artificial intelligence and wearable technology, IRT holds significant promise as a complementary tool in modern vascular medicine.

Indexed as

Diagnosticinfrared thermographymonitoringnoninvasive imagingthermal imaging

Identifiers

PMID42039714
PMCPMC13105372

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.