Evidence map›Paper›PMID 35903866›Full record

ArticleJournal of cachexia, sarcopenia and muscle2022

Measured weight loss as a precursor to cancer diagnosis: retrospective cohort analysis of 43 302 primary care patients.

Brian David Nicholson, Matthew James Thompson, Frederick David Richard Hobbs, Matthew Nguyen, Julie McLellan, Beverly Green, Jessica Chubak, Jason Lee Oke

Abstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

  1. Pooled it
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  3. Undetected Weight Loss Associates With Upstaging in Cancer Patients.Journal of cachexia, sarcopenia and muscle · 2026
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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

8 authors.

Brian David NicholsonNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID 0000-0003-0661-7362
Matthew James ThompsonDepartment of Family Medicine, University of Washington, Seattle, WA, USA.ORCID 0000-0002-4331-3758
Frederick David Richard HobbsNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID 0000-0001-7976-7172
Matthew NguyenKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.ORCID 0000-0001-8826-8658
Julie McLellanNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID 0000-0002-2868-8631
Beverly GreenKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.ORCID 0000-0003-3040-3436
Jessica ChubakKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.ORCID 0000-0003-1630-9021
Jason Lee OkeNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID 0000-0003-3467-6677

Funding

National Institute for Health Research (NIHR) Doctoral Research Fellowship DRF-2015-08-18National Institute for Health Research (UK)NIHR Academic Clinical LectureshipNIHR Oxford and Thames Valley Applied Research CollaborationNIHR Oxford Biomedical Research CentreNIHR Oxford Medtech and In-Vitro Diagnostics Cooperative
6 · The paper itself

Abstract

backgroundUnexpected weight loss is a presenting feature of cancer in primary care. Data from primary care are lacking to quantify how much weight loss over what period should trigger further investigation for cancer. This research aimed to quantify cancer diagnosis rates associated with measured weight change in people attending primary care.

methodsRetrospective cohort study of primary care electronic health records data linked to the Surveillance, Epidemiology, and End Results cancer registry (Integrated healthcare delivery system in Washington State, United States). Multivariable Cox regression incorporating time varying covariates using splines to model non-linear associations (age, percentage weight change, and weight change interval). Fifty thousand randomly selected patients aged 40 years and over followed for up to 9 years (1 January 2006 to 31 December 2014). Outcome measures are hazard ratios (95% confidence intervals) to quantify the association between percentage weight change and cancer diagnosis for all cancers combined, individual cancer sites and stages; percentage risk of cancer diagnosis within 6 months of the end of each weight change episode; and the positive predictive value for cancer diagnosis.

resultsThere were 43 302 included in the analysis after exclusions. Over 287 858 patient-years of follow-up, including 24 272 (56.1%) females, 23 980 (55.4%) aged 40 to 59 years, 15 113 (34.9%) 60 to 79 years, and 4209 (9.7%) aged 80 years and over. Adjusted hazard ratios (95% confidence interval) for cancer diagnosis in a 60 years old ranged from 1.04 (1.02 to 1.05, P < 0.001) for 1% weight loss to 1.44 (1.23 to 1.68, P < 0.001) for 10%. An independent linear association was observed between percentage weight loss and increasing cancer risk. The absolute risk of cancer diagnosis increased with increasing age (up to 85 years) and as the weight change measurement interval decreased (<1 year). The positive predictive value for a cancer diagnosis within 1 year of ≥5% measured weight loss in a 60 to 69 years old was 3.41% (1.57% to 6.37%) in men and 3.47% (1.68% to 6.29%) in women. The risk of cancer diagnosis was significantly increased for pancreatic, myeloma, gastro-oesophageal, colorectal, breast, stage II and IV cancers.

conclusionsWeight loss is a sign of undiagnosed cancer regardless of the interval over which it occurs. Guidelines should resist giving an arbitrary cut-off for the interval of weight loss and focus on the percentage of weight loss and the patient's age. Future studies should focus on the association between diagnostic evaluation of weight change and risk of cancer mortality.

Indexed as

NeoplasmsAdultAgedAged, 80 and overCohort StudiesFemaleHumansMaleMiddle AgedPrimary Health CareRetrospective StudiesUnited StatesWeight LossCancer diagnosisElectronic health recordsPrimary careWeight loss

Identifiers

PMID35903866
PMCPMC9530580

What OpenQuestion holds

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LicenceCC BY
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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.