Low Back Pain Exacerbation Is Predictable Through Motif Identification in Center of Pressure Time Series Recorded During Dynamic Sitting.

Ziheng Wang, Keizo Sato, Saida Salima Nawrin, Namareq Salah Widatalla, Yoshitaka Kimura, Ryoichi Nagatomi

Open access · goldAbstract read

In one paragraph

Article in Frontiers in physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it

0cells of the map it votes in

3citing papers in PubMed

0.6field-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

3 citing papers in PubMed, 5 citations in OpenAlex.

A Study of 60 Patients with Low Back Pain to Compare Outcomes Following Magnetotherapy, Ultrasound, Laser, and Electrotherapy with and without Lumbosacral Kinesiotherapy.Medical science monitor : international medical journal of experimental and clinical research · 2024
Trial
Correlation Between Pain Intensity and Trunk Sway in Seated Posture Among Office Workers with Chronic Spinal Pain: A Pilot Field-Based Study.Sensors (Basel, Switzerland) · 2025
Article
Exploring the Real-Time Variability and Complexity of Sitting Patterns in Office Workers with Non-Specific Chronic Spinal Pain and Pain-Free Individuals.Sensors (Basel, Switzerland) · 2024
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

6 authors at 1 institution in 1 country.

Ziheng WangDepartment of Medicine and Science in Sports and Exercise, Graduate School of Medicine, Tohoku University, Sendai, Japan.

Keizo SatoDivision of Biomedical Engineering for Health and Welfare, Graduate School of Biomedical Engineering, Tohoku University, Sendai, Japan.

Saida Salima NawrinDivision of Biomedical Engineering for Health and Welfare, Graduate School of Biomedical Engineering, Tohoku University, Sendai, Japan.

Namareq Salah WidatallaNext Generation Biological Information Technology, Graduate School of Biomedical Engineering, Tohoku University, Sendai, Japan.

Yoshitaka KimuraNext Generation Biological Information Technology, Graduate School of Biomedical Engineering, Tohoku University, Sendai, Japan.

Ryoichi NagatomiDepartment of Medicine and Science in Sports and Exercise, Graduate School of Medicine, Tohoku University, Sendai, Japan.

Tohoku University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

low back painmotif-aware state assignmentprobabilistic neural networkssitting behaviorsocial spider algorithm

Identifiers

PMID34594234

DOI10.3389/fphys.2021.696077

PMCPMC8476954

OpenAlexW3201531376

What OpenQuestion holds

Textmetadata

LicenceCC BY

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.