Evidence map›Paper›PMID 32935076›Full record

ArticleVascular biology (Bristol, England)2020

Infrared thermography for monitoring severity and treatment of diabetic foot infections.

Kor H Hutting, Wouter B Aan de Stegge, Rombout R Kruse, Jeff G van Baal, Sicco A Bus, Jaap J van Netten

Abstract read
In one paragraph

Article in Vascular biology (Bristol, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Skin Temperature of Acupoints in Health and Disease: A Systematic Review.Journal of integrative and complementary medicine · 2022
    Pooled it
  2. Review
  3. Article
  4. Article
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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

6 authors.

Kor H HuttingDepartment of Surgery, Hospital Group Twente, Almelo/Hengelo, the Netherlands.
Wouter B Aan de SteggeDepartment of Surgery, Hospital Group Twente, Almelo/Hengelo, the Netherlands.
Rombout R KruseDepartment of Surgery, Hospital Group Twente, Almelo/Hengelo, the Netherlands.
Jeff G van BaalDepartment of Surgery, Hospital Group Twente, Almelo/Hengelo, the Netherlands.
Sicco A BusDepartment of Surgery, Hospital Group Twente, Almelo/Hengelo, the Netherlands.
Jaap J van NettenDepartment of Surgery, Hospital Group Twente, Almelo/Hengelo, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring of diabetic foot infections is largely based on clinical assessment, which is limited by moderate reliability. We conducted a prospective study to explore monitoring of thermal asymmetry (difference between mean plantar temperature of the affected and unaffected foot) for the assessment of severity of diabetic foot infections. In patients with moderate or severe diabetic foot infections (International Working Group on the Diabetic Foot infection-grades 3 or 4) we measured thermal asymmetry with an advanced infrared thermography setup during the first 4-5 days of in-hospital treatment, in addition to clinical assessments and tests of serum inflammatory markers (white blood cell counts and C-reactive protein levels). We assessed the change in thermal asymmetry from baseline to final assessment, and investigated its association with infection-grades and serum inflammatory markers. In seven included patients, thermal asymmetry decreased from median 1.8°C (range: -0.6 to 8.4) at baseline to 1.5°C (range: -0.1 to 5.1) at final assessment (

Indexed as

diabetic foot infectioninfrared thermographymonitoringplantar foot thermal asymmetry

Identifiers

PMID32935076
PMCPMC7487596

What OpenQuestion holds

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Registered trials

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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.