--- dataset_info: - config_name: conversational_binary features: - name: id dtype: int64 - name: prompt list: - name: role dtype: string - name: content dtype: string - name: completion list: - name: role dtype: string - name: content dtype: string - name: Label dtype: string splits: - name: dev num_bytes: 176937 num_examples: 11 - name: test num_bytes: 2318936 num_examples: 172 download_size: 611329 dataset_size: 2495873 - config_name: conversational_continuous features: - name: id dtype: int64 - name: prompt list: - name: role dtype: string - name: content dtype: string - name: completion list: - name: role dtype: string - name: content dtype: string - name: Label dtype: string splits: - name: dev num_bytes: 401299 num_examples: 32 - name: test num_bytes: 6722692 num_examples: 484 download_size: 1473987 dataset_size: 7123991 - config_name: conversational_outcome-type features: - name: id dtype: int64 - name: prompt list: - name: role dtype: string - name: content dtype: string - name: completion list: - name: role dtype: string - name: content dtype: string - name: Label dtype: string splits: - name: dev num_bytes: 523092 num_examples: 43 - name: test num_bytes: 8201941 num_examples: 656 download_size: 1568521 dataset_size: 8725033 - config_name: processed features: - name: id dtype: int64 - name: pmcid dtype: int64 - name: outcome dtype: string - name: intervention dtype: string - name: comparator dtype: string - name: outcome_type dtype: string - name: intervention_events dtype: string - name: intervention_group_size dtype: string - name: comparator_events dtype: float64 - name: comparator_group_size dtype: string - name: intervention_mean dtype: string - name: intervention_standard_deviation dtype: float64 - name: comparator_mean dtype: float64 - name: comparator_standard_deviation dtype: float64 - name: notes dtype: string - name: is_data_in_figure_graphics dtype: bool - name: is_relevant_data_in_table dtype: bool - name: is_table_in_graphic_format dtype: bool - name: is_data_complete dtype: bool - name: Context dtype: string splits: - name: dev num_bytes: 496327 num_examples: 43 - name: test num_bytes: 7804844 num_examples: 656 download_size: 684957 dataset_size: 8301171 - config_name: processed_binary features: - name: id dtype: int64 - name: pmcid dtype: int64 - name: outcome dtype: string - name: intervention dtype: string - name: comparator dtype: string - name: notes dtype: string - name: is_data_in_figure_graphics dtype: bool - name: is_relevant_data_in_table dtype: bool - name: is_table_in_graphic_format dtype: bool - name: is_data_complete dtype: bool - name: Context dtype: string - name: completion_extraction dtype: string splits: - name: dev num_bytes: 157943 num_examples: 11 - name: test num_bytes: 2023623 num_examples: 172 download_size: 314417 dataset_size: 2181566 - config_name: processed_continuous features: - name: id dtype: int64 - name: pmcid dtype: int64 - name: outcome dtype: string - name: intervention dtype: string - name: comparator dtype: string - name: notes dtype: string - name: is_data_in_figure_graphics dtype: bool - name: is_relevant_data_in_table dtype: bool - name: is_table_in_graphic_format dtype: bool - name: is_data_complete dtype: bool - name: Context dtype: string - name: completion_extraction dtype: string splits: - name: dev num_bytes: 341340 num_examples: 32 - name: test num_bytes: 5825791 num_examples: 484 download_size: 566133 dataset_size: 6167131 - config_name: source features: - name: id dtype: int64 - name: evidence_inference_prompt_id dtype: int64 - name: pmcid dtype: int64 - name: outcome dtype: string - name: intervention dtype: string - name: comparator dtype: string - name: outcome_type dtype: string - name: intervention_events dtype: string - name: intervention_group_size dtype: string - name: comparator_events dtype: float64 - name: comparator_group_size dtype: string - name: intervention_mean dtype: string - name: intervention_standard_deviation dtype: float64 - name: comparator_mean dtype: float64 - name: comparator_standard_deviation dtype: float64 - name: notes dtype: string - name: is_data_in_figure_graphics dtype: bool - name: is_relevant_data_in_table dtype: bool - name: is_table_in_graphic_format dtype: bool - name: is_data_complete dtype: bool - name: tiktoken_with_attributes_xml_token_num dtype: int64 - name: tiktoken_without_attributes_xml_token_num dtype: int64 - name: tiktoken_without_attributes_markdown_token_num dtype: int64 - name: split dtype: string - name: abstract dtype: string splits: - name: dev num_bytes: 498004 num_examples: 43 - name: test num_bytes: 7831084 num_examples: 656 download_size: 696118 dataset_size: 8329088 configs: - config_name: conversational_binary data_files: - split: dev path: conversational_binary/dev-* - split: test path: conversational_binary/test-* - config_name: conversational_continuous data_files: - split: dev path: conversational_continuous/dev-* - split: test path: conversational_continuous/test-* - config_name: conversational_outcome-type data_files: - split: dev path: conversational_outcome-type/dev-* - split: test path: conversational_outcome-type/test-* - config_name: processed data_files: - split: dev path: processed/dev-* - split: test path: processed/test-* - config_name: processed_binary data_files: - split: dev path: processed_binary/dev-* - split: test path: processed_binary/test-* - config_name: processed_continuous data_files: - split: dev path: processed_continuous/dev-* - split: test path: processed_continuous/test-* - config_name: source data_files: - split: dev path: source/dev-* - split: test path: source/test-* license: cc-by-sa-4.0 task_categories: - text-classification - text-retrieval language: - en tags: - medical pretty_name: Trial Meta Analysis size_categories: - 1K

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Flow Chart of Study<\/figcaption> <\/figure> ::::table-wrap\n\n::: caption\nBaseline Characteristics\n:::\n\n![](<>):::: \n\n## Outcomes and Estimation For the first occasion on which advice was offered, the amount of saturated fat in the food purchased by the intervention group after advice was a mean of 0.66% (0.48--0.84, *p \\<* 0.001) lower than in the corresponding foods purchased by the control group ([Table 2](#)), which is equivalent to an approximate 10% reduction in saturated fat content of foods purchased ([Figure 2](#)). This difference resulted from a decrease in the mean saturated fat content in the foods purchased following the advice offered to the intervention group of 0.77% (0.60--0.94, *p \\<* 0.001), with no corresponding decrease in the control group 0.04% (0.00--0.08, *p =* 0.07). The effect estimate for the primary outcome was 0.62% (0.46--0.79, *p \\<* 0.001) if analysis was restricted to only the 456 individuals that selected one of the 524 foods studied and was 0.58 (0.39--0.77, *p \\<* 0.001) if the change in saturated fat was set to zero for those individuals that did not select one of the foods. The subgroup analyses provided some evidence that the intervention had greater effects among individuals with higher body mass index and among people above 40 y of age (for both, homogeneity *p* < 0.03) ([Table 3](#)). There was no baseline variable that substantively altered the main result as a consequence of its inclusion or exclusion as a covariate. ::::table-wrap\n::: caption\nEffects of Intervention on Primary Outcome\n:::\n\n![](<>)::::

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Effects of Repeated Advice in the Intervention (n =<\/em> 115) and Control Group (n =<\/em> 121)
Squares are placed at the point estimate of the effect observed in the intervention (A) and control (B) groups, and the vertical lines extend to the 95% confidence intervals around the estimate. The p<\/em>-value for trend in the intervention group indicates a progressive decrease in effect size with repeated shopping episodes. There was no significant decrease in saturated fat at any time point in the control group, nor any trend over time (all p<\/em> > 0.09).<\/figcaption> <\/figure> ::::table-wrap\n::: caption\nEffects of Intervention on Primary Outcome in Main Participant Subgroups\n:::\n\n![](<>):::: A secondary outcome of the study was to assess the impact of the intervention on the cost of foods purchased online. The mean cost per 100 g of the foods purchased by the intervention group was not different from that in the control group (intervention AUD$0.63 [0.58--0.68]\/100 g versus control AUD$0.62 [0.58--0.67]\/100 g, *p =* 0.19). The foods higher in saturated fat that were most commonly present in the shopping basket prior to advice being offered but absent after the advice had been offered were higher-fat dairy products. Lower-fat dairy products were the items most frequently added to the shopping basket after advice was provided. \n\n## Ancillary Analyses The effects of the intervention over repeated episodes of shopping were explored amongst the 115 participants that completed six shopping episodes during the study. These analyses demonstrated that for the intervention group the magnitude of the reduction in saturated fat achieved was greater in earlier compared to later shopping episodes (for trend, *p* = 0.01) ([Figure 2](#)) and showed that there was no effect of the control condition on saturated fat during any shopping episode (*p* > 0.09 for all six shopping episodes in the control group).\n" } ``` ### Data Fields #### Source Format TO:DO ### Data Splits TO:DO ## Additional Information ### Dataset Curators #### Original Paper - Hye Sun Yun (yun.hy@northeastern.edu) - Northeastern University Boston, MA, USA - David Pogrebitskiy (pogrebitskiy.d@northeastern.edu) - Northeastern University Boston, MA, USA - Iain J. Marshall (iain.marshall@kcl.ac.uk) - King’s College London London, UK - Byron C. Wallace (b.wallace@northeastern.edu) - Northeastern University Boston, MA, USA #### Huggingface Curator - [Artur Guimarães](https://araag2.netlify.app/) (artur.guimas@gmail.com) - INESC-ID / University of Lisbon - Instituto Superior Técnico ### Licensing Information [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/deed.en) ### Citation Information ```bibtex @article{yun2024automatically, title={Automatically extracting numerical results from randomized controlled trials with large language models}, author={Yun, Hye Sun and Pogrebitskiy, David and Marshall, Iain J and Wallace, Byron C}, journal={arXiv preprint arXiv:2405.01686}, year={2024} } ``` [10.48550/arXiv.2405.01686](https://doi.org/10.48550/arXiv.2405.01686) ### Contributions Thanks to [araag2](https://github.com/araag2) for adding this dataset.