Evidence map›Paper›PMID 30459139›Full record

ArticleJMIR cancer2018

A Novel Mobile Phone App (OncoFood) to Record and Optimize the Dietary Behavior of Oncologic Patients: Pilot Study.

Till Orlemann, Dejan Reljic, Björn Zenker, Julia Meyer, Bjoern Eskofier, Jana Thiemt, Hans Joachim Herrmann, Markus Friedrich Neurath, Yurdagül Zopf

Abstract read
In one paragraph

Article in JMIR cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

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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

9 authors.

Till OrlemannHector Center for Nutrition, Exercise, and Sports, Department of Internal Medicine 1, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.ORCID http://orcid.org/0000-0002-9856-4415
Dejan ReljicHector Center for Nutrition, Exercise, and Sports, Department of Internal Medicine 1, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.ORCID http://orcid.org/0000-0001-8049-1775
Björn ZenkerEmbedded Systems Institute, Department of Informatics, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.ORCID http://orcid.org/0000-0001-9710-0590
Julia MeyerHector Center for Nutrition, Exercise, and Sports, Department of Internal Medicine 1, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.ORCID http://orcid.org/0000-0002-1356-7597
Bjoern EskofierMachine Learning and Data Analytics Lab, Department of Computer Science, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.ORCID http://orcid.org/0000-0002-0417-0336
Jana ThiemtMachine Learning and Data Analytics Lab, Department of Computer Science, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.ORCID http://orcid.org/0000-0003-0376-0577
Hans Joachim HerrmannHector Center for Nutrition, Exercise, and Sports, Department of Internal Medicine 1, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.ORCID http://orcid.org/0000-0002-3021-8022
Markus Friedrich NeurathDepartment of Internal Medicine 1, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.ORCID http://orcid.org/0000-0003-4344-1474
Yurdagül ZopfHector Center for Nutrition, Exercise, and Sports, Department of Internal Medicine 1, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.ORCID http://orcid.org/0000-0002-3432-7488

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCatabolism and tumor-specific therapy lead to reduced nutrient intake and weight loss in cancer patients. Maintaining a specific individualized diet can be challenging for the patient as the nutritional counseling options are limited. Monitoring of nutrient intake and frequent feedback are, however, vital for successful nutritional therapy because they support the patient's compliance and realization of dietary therapeutic goals.

objectiveThis study aimed at investigating the feasibility and applicability of a novel mobile phone app to assess and evaluate dietary behaviors in oncologic patients.

methodsTo determine dietary habits and food preferences in oncologic patients, initially 1400 nutritional records were evaluated and analyzed. The results provided the basis for creating a nutritional mobile phone app. Key requirements for the app included simple handling, recording the daily intake, and a comparison of nutrient targets and current status. In total, 39 cancer patients were recruited for the study; 15 patients dropped out prior to the study. All patients received a nutritional anamnesis, nutritional analysis, and nutritional counseling. Individual energy and nutrient aims were defined. The intervention group (n=12) additionally used the app. Weight and body composition of each group were evaluated after 4 weeks.

resultsThe app group gained significantly more weight (P=.045; mean weight 1.03 kg vs -1.46 kg). Also, skeletal muscle mass showed a significant increase in the app group (P=.009; mean skeletal muscle mass 0.58 kg vs -0.61 kg) compared with the control group. There was no significant difference between groups relating to the daily protein intake (P=.06). Additionally, there was a decrease in macronutrient intake during the study period in the control group.

conclusionsOur study indicates that patients who track their daily dietary habits using a mobile phone app are more likely to reach their nutritional goals than the control patients. Further large-scale studies are needed to confirm these initial findings and test the applicability on a broader basis.

Indexed as

cancerdietmobile appsmobile phonenutritionprotein intakesmartphone

Identifiers

PMID30459139
PMCPMC6280033

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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.