Evidence map›Paper›PMID 28483820›Full record

SynthesisThe British journal of general practice : the journal of the Royal College of General Practitioners2017

Lung cancer in symptomatic patients presenting in primary care: a systematic review of risk prediction tools.

Mia Schmidt-Hansen, Sabine Berendse, Willie Hamilton, David R Baldwin

Abstract readSystematic Review
In one paragraph

Synthesis in The British journal of general practice : the journal of the Royal College of General Practitioners, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 4 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

8 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Presentation of lung cancer in primary care.NPJ primary care respiratory medicine · 2019
    Article
  8. 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

4 authors.

Mia Schmidt-HansenNational Guideline Alliance, The Royal College of Obstetricians and Gynaecologists, London.
Sabine BerendseNational Guideline Alliance, The Royal College of Obstetricians and Gynaecologists, London.
Willie HamiltonProfessor of primary care diagnostics, University of Exeter, Exeter.
David R BaldwinRespiratory Medicine Unit, David Evans Centre, Nottingham University Hospitals, Nottingham.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer is the leading cause of cancer deaths. Around 70% of patients first presenting to specialist care have advanced disease, at which point current treatments have little effect on survival. The issue for primary care is how to recognise patients earlier and investigate appropriately. This requires an assessment of the risk of lung cancer.

aimThe aim of this study was to systematically review the existing risk prediction tools for patients presenting in primary care with symptoms that may indicate lung cancer DESIGN AND

settingSystematic review of primary care data.

methodMedline, PreMedline, Embase, the Cochrane Library, Web of Science, and ISI Proceedings (1980 to March 2016) were searched. The final list of included studies was agreed between two of the authors, who also appraised and summarised them.

resultsSeven studies with between 1482 and 2 406 127 patients were included. The tools were all based on UK primary care data, but differed in complexity of development, number/type of variables examined/included, and outcome time frame. There were four multivariable tools with internal validation area under the curves between 0.88 and 0.92. The tools all had a number of limitations, and none have been externally validated, or had their clinical and cost impact examined.

conclusionThere is insufficient evidence for the recommendation of any one of the available risk prediction tools. However, some multivariable tools showed promising discrimination. What is needed to guide clinical practice is both external validation of the existing tools and a comparative study, so that the best tools can be incorporated into clinical decision tools used in primary care.

Indexed as

Primary Health CareEarly Detection of CancerHumansLung NeoplasmsPredictive Value of TestsReferral and ConsultationRisk AssessmentUnited Kingdomclinical decision tooldiagnosislung neoplasmsprimary health carerisk predictionsymptoms

Identifiers

PMID28483820
PMCPMC5442955

What OpenQuestion holds

Textmetadata
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.