Evidence map›Paper›PMID 40181328›Full record

ArticleBMC musculoskeletal disorders2025

Frequency, combinations and clinical relevance of outpatient low back pain diagnoses: analysis of claims data in a population-based cohort study.

Elisa Kasbohm, Jean-François Chenot, Carsten Oliver Schmidt, Julia Truthmann

Abstract read
In one paragraph

Article in BMC musculoskeletal disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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2citing 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

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3 · Its place in the literature

Who cites it

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

  1. Pooled it
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Elisa KasbohmDepartment SHIP-KEF, Institute for Community Medicine, University Medicine Greifswald, 17475, Greifswald, Germany. elisa.kasbohm@uni-greifswald.de.
Jean-François ChenotDepartment of General Practice, Institute for Community Medicine, University Medicine Greifswald, 17475, Greifswald, Germany.
Carsten Oliver SchmidtDepartment SHIP-KEF, Institute for Community Medicine, University Medicine Greifswald, 17475, Greifswald, Germany.
Julia TruthmannDepartment of General Practice, Institute for Community Medicine, University Medicine Greifswald, 17475, Greifswald, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClaims data are often used to investigate the quality of care for patients with low back pain (LBP). However, there is no standard regarding the preferred choice of ICD-10 codes for identifying patients with LBP, and guidelines for the treatment of LBP differ in their interpretation of ICD-10 codes. Furthermore, for some indicators measuring the quality of care, such as the appropriate use of imaging, it is necessary to differentiate between cases with specific, treatable causes and those without. This study therefore investigates coding practices for LBP in outpatient care and the use of imaging across specialist groups over a six-year period.

methodsBased on the TREND cohort of the population-based Study of Health in Pomerania (SHIP), coding practices in claims data were analysed using data from 3,837 statutorily insured participants for the years 2014-2019. In total, eleven ICD-10 categories of relevance to LBP were included. We evaluated the findings based on two German guidelines: one for specific and one for non-specific LBP.

resultsAt least one LBP diagnosis was coded for 2,474 participants (64%) during the entire observation period. The predominant ICD-10 category was M54 (dorsalgia, 87% of patients with LBP). Around half of the participants with M54 diagnoses also had diagnoses from other LBP-related categories in the same year. Diagnoses that can be assigned to specific LBP according to the respective German guideline occurred in 86% of patients with LBP. Participants who consulted only general practitioners during the observation period were more likely to receive only an M54 diagnosis and less likely to undergo imaging procedures.

conclusionsThe results underline the high epidemiologic relevance of LBP. Using the German guideline on specific LBP as a reference, we categorized most LBP diagnoses as specific, contrary to common international assumptions. Most patients with LBP received multiple ICD-10 codes, complicating the distinction between non-specific and specific LBP based on claims data. Health care analyses on LBP require transparent reporting of the ICD codes used, along with a detailed discussion of the data's limitations.

Indexed as

Ambulatory CareInsurance Claim ReviewLow Back PainAdolescentAdultAgedClinical RelevanceCohort StudiesFemaleGermanyHumansInternational Classification of DiseasesMaleMiddle AgedOutpatientsYoung AdultClaims dataICD-10 codingLow back painOutpatient careSpecific LBP

Identifiers

PMID40181328
PMCPMC11966858

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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.