Evidence map›Paper›PMID 33709819›Full record

ArticleThe Journal of hand surgery, European volume2021

Defining abnormal cold sensitivity using the Cold Intolerance Symptom Severity questionnaire: a population study.

Albin Stjernbrandt, Ingrid Liljelind, Tohr Nilsson, Jens Wahlström

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in The Journal of hand surgery, European volume, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06915662 (Pain Outcomes After Digital Amputation Using Tulavi Allay™ Nerve Cap), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 28% 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.

NCT06915662 phase2recruitingnot on this mapstarted 2025, after this paper: background citation

Pain Outcomes After Digital Amputation Using Tulavi Allay™ Nerve Cap: A Prospective Trial for Safety and Efficacy

TypeinterventionalSponsorMassachusetts General HospitalRan2025 to 2027Enrolled20ConditionsNeuroma, Neuropathic PainArmsTulavi allay Nerve Cap
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 11 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

4 authors at 1 institution in 1 country.

Albin StjernbrandtSection of Sustainable Health, Umeå University, Umeå, Sweden.
Ingrid LiljelindSection of Sustainable Health, Umeå University, Umeå, Sweden.
Tohr NilssonSection of Sustainable Health, Umeå University, Umeå, Sweden.
Jens WahlströmSection of Sustainable Health, Umeå University, Umeå, Sweden.
Umeå University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cold sensitivity, a common and disabling sequela of hand injury, can be assessed using the Cold Intolerance Symptom Severity (CISS) questionnaire, rating symptoms on a scale from 4 to 100. The primary objective of this study was to define a clinical cut-off for abnormal cold sensitivity based on the CISS score in a healthy working-age population. The secondary objective was to investigate how age, gender and previous injuries and diseases influence CISS scoring. In this study, 1239 out of 1582 selected healthy subjects of working age living in northern Sweden completed the questionnaire, yielding a response rate of 78%. The 95th percentile for the CISS score was 49.5 for men and 53.0 for women. The effects of age, gender and previous injuries and diseases were minor and not considered clinically relevant. The results support that a CISS score above 50 should be considered as abnormal cold sensitivity.

Indexed as

Hand InjuriesCold TemperatureFemaleHumansMaleResearch DesignSurveys and QuestionnairesSwedencold exposureHandhand-arm vibrationnerve injuryoccupational exposureSweden

Identifiers

PMID33709819
PMCPMC8377284
OpenAlexW3135490069

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.